Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:37215183

Exploring the common diagnostic gene KCNJ15 and shared pathway of ankylosing spondylitis and ulcerative colitis through integrated bioinformatics.

Su-Zhe Zhou · Li Shen · Zhong-Biao Fu · Hao Li · Ying-Lian Pan · Run-Ze Yu

Frontiers in physiology · 2023 doi:10.3389/fphys.2023.1146538

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:37215183
kind
science-record
content_hash
sha256:99434d79043cbaec9b13644b4d60286cc1e99ca5a33ead028cec6b1037b066e9
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T19:01:55Z
updated_at
2026-11-01T22:51:57Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Exploring the common diagnostic gene KCNJ15 and shared pathway of ankylosing spondylitis and ulcerative colitis through integrated bioinformatics.
doi
10.3389/fphys.2023.1146538
pmid
37215183
authors array · 6 items
[0]
Su-Zhe Zhou
[1]
Li Shen
[2]
Zhong-Biao Fu
[3]
Hao Li
[4]
Ying-Lian Pan
[5]
Run-Ze Yu
journal
Frontiers in physiology
year
2023
abstract
Introduction: The similarity between ankylosing spondylitis (AS) and ulcerative colitis (UC) in incidence rate and pathogenesis has been revealed. But the common pathogenesis that explains the relationship between AS and UC is still lacked, and the related genetic research is limited. We purposed to explore shared biomarkers and pathways of AS and UC through integrated bioinformatics. Methods: Gene expression data of AS and UC were obtained in the GEO database. We applied weighted gene co-expression network analysis (WGCNA) to identify AS-related and UC-related co-expression gene modules. Subsequently, machine learning algorithm was used to further screen hub genes. We validated the expression level and diagnostic efficiency of the shared diagnostic gene of AS and UC in external datasets. Gene set enrichment analysis (GSEA) was applied to analyze pathway-level changes between disease group and normal group. Finally, we analyzed the relationship between hub biomarker and immune microenvironment by using the CIBERSORT deconvolution algorithm. Results: 203 genes were obtained by overlapping AS-related gene module and UC-related gene module. Through SVM-RFE algorithm, 19 hub diagnostic genes were selected for AS in GSE25101 and 6 hub diagnostic genes were selected for UC in GSE94648. KCNJ15 was obtained as a common diagnostic gene of AS and UC. The expression of KCNJ15 was validated in independent datasets, and the results showed that KCNJ15 were similarly upregulated in AS samples and UC samples. Besides, ROC analysis also revealed that KCNJ15 had good diagnostic efficacy. The GSEA analysis revealed that oxidative phosphorylation pathway was the shared pathway of AS and UC. In addition, CIBERSORT results revealed the correlation between KCNJ15 gene and immune microenvironment in AS and UC. Conclusion: We have explored a common diagnostic gene KCNJ15 and a shared oxidative phosphorylation pathway of AS and UC through integrated bioinformatics, which may provide a potential diagnostic biomarker and novel insight for studying the mechanism of AS-related UC.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
We applied SVM-RFE to further select core diagnostic genes from the above intersected genes of the AS-related module and UC-related gene module by using the “e1071” R package (Yoon and Kim, 2009).
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:37215183
locator
sections[5] "2.3 Identification and validation of diagnostic biomarkers" paragraph 2
quote
We applied SVM-RFE to further select core diagnostic genes from the above intersected genes of the AS-related module and UC-related gene module by using the “e1071” R package (Yoon and Kim, 2009).
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:37215183
locator
sections[17] "Data availability statement" paragraph 2
quote
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
KCNJ15 was identified as a common diagnostic gene for ankylosing spondylitis and ulcerative colitis, with good diagnostic efficacy in the discovery and independent validation datasets.
kind
qualitative
target
null
evidence array · 3 items
[0] object · 3 fields
asset
source:pmid:37215183
locator
sections[10] "3.2 Identification of common diagnostic gene by machine learning algorithm" paragraph 2
quote
Finally, KCNJ15 was identified as the common diagnostic gene of AS and UC (Figure 3C).
[1] object · 3 fields
asset
source:pmid:37215183
locator
sections[11] "3.3 Validation of hub diagnostic genes" paragraph 2
quote
In addition, the ROC analysis results showed that KCNJ15 had good diagnostic efficacy in GSE2510 (AUC = 0.723) and GSE94648 (AUC = 0.963) (Figures 4E, F).
[2] object · 3 fields
asset
source:pmid:37215183
locator
sections[11] "3.3 Validation of hub diagnostic genes" paragraph 2
quote
In the external independent datasets, KCNJ15 also showed potent diagnostic efficacy in GSE73754 (AUC = 0.757) and GSE38713 (AUC = 0.892) (Figures 4G, H).
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
KCNJ15 was identified as a common diagnostic gene for ankylosing spondylitis and ulcerative colitis, with good diagnostic efficacy in the discovery and independent validation datasets.
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate from the source
kind
other
state
complete
blocked_on
null
description
The claim, method and evidence span published with the source article.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:37215183
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
complete
blocked_on
null
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE25101
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE25101
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 5 items
[0] object · 15 fields
id
source:pmid:37215183
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3389/fphys.2023.1146538
sha256
sha256:66d57fec33b5b4e63fe7ca5c5270b1b6882932f402cd147d42e3e0daec747c7c
bytes
20919
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3389/fphys.2023.1146538
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC10196009
source
europe_pmc_fulltext
coverage
whole_body_without_references
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE25101
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE25101
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE25101
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
access_statement_kind
data_availability_statement
sample_accessions array · 32 items
[0]
GSM616668
[1]
GSM616669
[2]
GSM616670
[3]
GSM616671
[4]
GSM616672
[5]
GSM616673
[6]
GSM616674
[7]
GSM616675
[8]
GSM616676
[9]
GSM616677
[10]
GSM616678
[11]
GSM616679
[12]
GSM616680
[13]
GSM616681
[14]
GSM616682
[15]
GSM616683
[16]
GSM616684
[17]
GSM616685
[18]
GSM616686
[19]
GSM616687
[20]
GSM616688
[21]
GSM616689
[22]
GSM616690
[23]
GSM616691
[24]
GSM616692
[25]
GSM616693
[26]
GSM616694
[27]
GSM616695
[28]
GSM616696
[29]
GSM616697
[30]
GSM616698
[31]
GSM616699
sample_count
32
group_sizes
null
group_sizes_basis
null
platform
6947
taxon
Homo sapiens
title
Expression profiling in whole blood in ankylosing spondylitis patients and controls
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE38713
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE38713
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE38713
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
access_statement_kind
data_availability_statement
sample_accessions array · 43 items
[0]
GSM948550
[1]
GSM948551
[2]
GSM948552
[3]
GSM948553
[4]
GSM948554
[5]
GSM948555
[6]
GSM948556
[7]
GSM948557
[8]
GSM948558
[9]
GSM948559
[10]
GSM948560
[11]
GSM948561
[12]
GSM948562
[13]
GSM948563
[14]
GSM948564
[15]
GSM948565
[16]
GSM948566
[17]
GSM948567
[18]
GSM948568
[19]
GSM948569
[20]
GSM948570
[21]
GSM948571
[22]
GSM948572
[23]
GSM948573
[24]
GSM948574
[25]
GSM948575
[26]
GSM948576
[27]
GSM948577
[28]
GSM948578
[29]
GSM948579
[30]
GSM948580
[31]
GSM948581
[32]
GSM948582
[33]
GSM948583
[34]
GSM948584
[35]
GSM948585
[36]
GSM948586
[37]
GSM948587
[38]
GSM948588
[39]
GSM948589
[40]
GSM948590
[41]
GSM948591
[42]
GSM948592
sample_count
43
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Expression data from intestinal mucosa of patients with UC
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE73754
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE73754
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE73754
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
access_statement_kind
data_availability_statement
sample_accessions array · 72 items
[0]
GSM1902130
[1]
GSM1902131
[2]
GSM1902132
[3]
GSM1902133
[4]
GSM1902134
[5]
GSM1902135
[6]
GSM1902136
[7]
GSM1902137
[8]
GSM1902138
[9]
GSM1902139
[10]
GSM1902140
[11]
GSM1902141
[12]
GSM1902142
[13]
GSM1902143
[14]
GSM1902144
[15]
GSM1902145
[16]
GSM1902146
[17]
GSM1902147
[18]
GSM1902148
[19]
GSM1902149
[20]
GSM1902150
[21]
GSM1902151
[22]
GSM1902152
[23]
GSM1902153
[24]
GSM1902154
[25]
GSM1902155
[26]
GSM1902156
[27]
GSM1902157
[28]
GSM1902158
[29]
GSM1902159
[30]
GSM1902160
[31]
GSM1902161
[32]
GSM1902162
[33]
GSM1902163
[34]
GSM1902164
[35]
GSM1902165
[36]
GSM1902166
[37]
GSM1902167
[38]
GSM1902168
[39]
GSM1902169
[40]
GSM1902170
[41]
GSM1902171
[42]
GSM1902172
[43]
GSM1902173
[44]
GSM1902174
[45]
GSM1902175
[46]
GSM1902176
[47]
GSM1902177
[48]
GSM1902178
[49]
GSM1902179
[50]
GSM1902180
[51]
GSM1902181
[52]
GSM1902182
[53]
GSM1902183
[54]
GSM1902184
[55]
GSM1902185
[56]
GSM1902186
[57]
GSM1902187
[58]
GSM1902188
[59]
GSM1902189
[60]
GSM1902190
[61]
GSM1902191
[62]
GSM1902192
[63]
GSM1902193
[64]
GSM1902194
[65]
GSM1902195
[66]
GSM1902196
[67]
GSM1902197
[68]
GSM1902198
[69]
GSM1902199
[70]
GSM1902200
[71]
GSM1902201
sample_count
72
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Sexual Dimorphism in the Th17 Signature of Ankylosing Spondylitis
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE94648
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE94648
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE94648
version
null
note
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
access_statement_kind
data_availability_statement
sample_accessions array · 97 items
[0]
GSM2480251
[1]
GSM2480252
[2]
GSM2480253
[3]
GSM2480254
[4]
GSM2480255
[5]
GSM2480256
[6]
GSM2480257
[7]
GSM2480258
[8]
GSM2480259
[9]
GSM2480260
[10]
GSM2480261
[11]
GSM2480262
[12]
GSM2480263
[13]
GSM2480264
[14]
GSM2480265
[15]
GSM2480266
[16]
GSM2480267
[17]
GSM2480268
[18]
GSM2480269
[19]
GSM2480270
[20]
GSM2480271
[21]
GSM2480272
[22]
GSM2480273
[23]
GSM2480274
[24]
GSM2480275
[25]
GSM2480276
[26]
GSM2480277
[27]
GSM2480278
[28]
GSM2480279
[29]
GSM2480280
[30]
GSM2480281
[31]
GSM2480282
[32]
GSM2480283
[33]
GSM2480284
[34]
GSM2480285
[35]
GSM2480286
[36]
GSM2480287
[37]
GSM2480288
[38]
GSM2480289
[39]
GSM2480290
[40]
GSM2480291
[41]
GSM2480292
[42]
GSM2480293
[43]
GSM2480294
[44]
GSM2480295
[45]
GSM2480296
[46]
GSM2480297
[47]
GSM2480298
[48]
GSM2480299
[49]
GSM2480300
[50]
GSM2480301
[51]
GSM2480302
[52]
GSM2480303
[53]
GSM2480304
[54]
GSM2480305
[55]
GSM2480306
[56]
GSM2480307
[57]
GSM2480308
[58]
GSM2480309
[59]
GSM2480310
[60]
GSM2480311
[61]
GSM2480312
[62]
GSM2480313
[63]
GSM2480314
[64]
GSM2480315
[65]
GSM2480316
[66]
GSM2480317
[67]
GSM2480318
[68]
GSM2480319
[69]
GSM2480320
[70]
GSM2480321
[71]
GSM2480322
[72]
GSM2480323
[73]
GSM2480324
[74]
GSM2480325
[75]
GSM2480326
[76]
GSM2480327
[77]
GSM2480328
[78]
GSM2480329
[79]
GSM2480330
[80]
GSM2480331
[81]
GSM2480332
[82]
GSM2480333
[83]
GSM2480334
[84]
GSM2480335
[85]
GSM2480336
[86]
GSM2480337
[87]
GSM2480338
[88]
GSM2480339
[89]
GSM2480340
[90]
GSM2480341
[91]
GSM2480342
[92]
GSM2480343
[93]
GSM2480344
[94]
GSM2480345
[95]
GSM2480346
[96]
GSM2480347
sample_count
97
group_sizes
null
group_sizes_basis
null
platform
19109
taxon
Homo sapiens
title
Expression data from peripheral whole blood of non-IBD controls, CD and UC patients
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 8 items
[0]
asset:data:geo:GSE25101 not downloaded
[1]
asset:data:geo:GSE25101 licence not read
[2]
asset:data:geo:GSE38713 not downloaded
[3]
asset:data:geo:GSE38713 licence not read
[4]
asset:data:geo:GSE73754 not downloaded
[5]
asset:data:geo:GSE73754 licence not read
[6]
asset:data:geo:GSE94648 not downloaded
[7]
asset:data:geo:GSE94648 licence not read
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
family
machine_learning
specific
support_vector_machine
label
Machine learning
dsl_operations array · 3 items
[0]
train_classifier
[1]
cross_validate
[2]
roc_auc
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
labelled_feature_matrix
evidence object · 3 fields
score
1
band
verbatim
quote
We applied SVM-RFE to further select core diagnostic genes from the above intersected genes of the AS-related module and UC-related gene module by using the “e1071” R package (Yoon and Kim, 2009).
[1] object · 10 fields
id
method-2
family
diagnostic_evaluation
specific
roc
label
Diagnostic test evaluation
dsl_operations array · 6 items
[0]
confusion_counts
[1]
roc_curve
[2]
sensitivity_specificity
[3]
solve_confusion_matrix
[4]
classification_metrics
[5]
published_precision_envelope
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
reference_standard_and_test
evidence object · 3 fields
score
0.7
band
medium
quote
ROC analysis
[2] object · 10 fields
id
method-3
family
epidemiological_modelling
specific
incidence_rate
label
Epidemiological rate modelling
dsl_operations array · 2 items
[0]
incidence_rate_model
[1]
offset_regression
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
event_counts_with_exposure_time
evidence object · 3 fields
score
0.7
band
medium
quote
incidence rate
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 3 items
[0]
train_classifier
[1]
cross_validate
[2]
roc_auc
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: support_vector_machine.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 4 items
[0]
GSE25101
[1]
GSE73754
[2]
GSE94648
[3]
GSE38713
resolved_accessions array · 4 items
[0]
GSE25101
[1]
GSE73754
[2]
GSE94648
[3]
GSE38713
statements array · 1 item
[0]
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
basis
The paper names GSE25101, GSE73754, GSE94648, GSE38713 in GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
train_classifier
[1]
cross_validate
[2]
roc_auc
assets array · 2 items
[0]
source:pmid:37215183
[1]
data:geo:GSE25101
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE25101
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T18:41:07Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
6785
completion_tokens
2054
cached_tokens
256
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:37215183
type
paper
label
pmid:37215183
[1] object · 3 fields
id
source:pmid:37215183
type
manuscript
label
PMID 37215183 full text
[2] object · 3 fields
id
data:geo:GSE25101
type
dataset
label
GEO GSE25101
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:37215183
type
paper
label
pmid:37215183
[1] object · 3 fields
id
source:pmid:37215183
type
manuscript
label
PMID 37215183 full text
[2] object · 3 fields
id
data:geo:GSE25101
type
dataset
label
GEO GSE25101
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-37215183
type
extraction
used array · 1 item
[0]
source:pmid:37215183
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE25101
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE25101
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:37215183
parent_hash
sha256:d792f29d17b0d558cb79a354bbcf73dc19fe71bcd6a12adb2e57202b5c777bbc
fork_of
null
gaps array · 12 items
[0]
asset:data:geo:GSE25101 licence not read
[1]
asset:data:geo:GSE25101 not downloaded
[2]
asset:data:geo:GSE38713 licence not read
[3]
asset:data:geo:GSE38713 not downloaded
[4]
asset:data:geo:GSE73754 licence not read
[5]
asset:data:geo:GSE73754 not downloaded
[6]
asset:data:geo:GSE94648 licence not read
[7]
asset:data:geo:GSE94648 not downloaded
[8]
execution.not_run
[9]
review.human_critique
[10]
review.independent_reader
[11]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
machine_learning
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
train_classifier
[1]
cross_validate
[2]
roc_auc
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
We applied SVM-RFE to further select core diagnostic genes from the above intersected genes of the AS-related module and UC-related gene module by using the “e1071” R package (Yoon and Kim, 2009).
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37215183", "kind": "science-record", "revision": 4, "content_hash": "sha256:99434d79043cbaec9b13644b4d60286cc1e99ca5a33ead028cec6b1037b066e9", "created_at": "2026-11-01T19:01:55Z", "updated_at": "2026-11-01T22:51:57Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Exploring the common diagnostic gene KCNJ15 and shared pathway of ankylosing spondylitis and ulcerative colitis through integrated bioinformatics.", "doi": "10.3389/fphys.2023.1146538", "pmid": "37215183", "authors": ["Su-Zhe Zhou", "Li Shen", "Zhong-Biao Fu", "Hao Li", "Ying-Lian Pan", "Run-Ze Yu"], "journal": "Frontiers in physiology", "year": 2023, "abstract": "Introduction: The similarity between ankylosing spondylitis (AS) and ulcerative colitis (UC) in incidence rate and pathogenesis has been revealed. But the common pathogenesis that explains the relationship between AS and UC is still lacked, and the related genetic research is limited. We purposed to explore shared biomarkers and pathways of AS and UC through integrated bioinformatics. Methods: Gene expression data of AS and UC were obtained in the GEO database. We applied weighted gene co-expression network analysis (WGCNA) to identify AS-related and UC-related co-expression gene modules. Subsequently, machine learning algorithm was used to further screen hub genes. We validated the expression level and diagnostic efficiency of the shared diagnostic gene of AS and UC in external datasets. Gene set enrichment analysis (GSEA) was applied to analyze pathway-level changes between disease group and normal group. Finally, we analyzed the relationship between hub biomarker and immune microenvironment by using the CIBERSORT deconvolution algorithm. Results: 203 genes were obtained by overlapping AS-related gene module and UC-related gene module. Through SVM-RFE algorithm, 19 hub diagnostic genes were selected for AS in GSE25101 and 6 hub diagnostic genes were selected for UC in GSE94648. KCNJ15 was obtained as a common diagnostic gene of AS and UC. The expression of KCNJ15 was validated in independent datasets, and the results showed that KCNJ15 were similarly upregulated in AS samples and UC samples. Besides, ROC analysis also revealed that KCNJ15 had good diagnostic efficacy. The GSEA analysis revealed that oxidative phosphorylation pathway was the shared pathway of AS and UC. In addition, CIBERSORT results revealed the correlation between KCNJ15 gene and immune microenvironment in AS and UC. Conclusion: We have explored a common diagnostic gene KCNJ15 and a shared oxidative phosphorylation pathway of AS and UC through integrated bioinformatics, which may provide a potential diagnostic biomarker and novel insight for studying the mechanism of AS-related UC.", "claims": [{"id": "claim-method", "statement": "We applied SVM-RFE to further select core diagnostic genes from the above intersected genes of the AS-related module and UC-related gene module by using the “e1071” R package (Yoon and Kim, 2009).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37215183", "locator": "sections[5] \"2.3 Identification and validation of diagnostic biomarkers\" paragraph 2", "quote": "We applied SVM-RFE to further select core diagnostic genes from the above intersected genes of the AS-related module and UC-related gene module by using the “e1071” R package (Yoon and Kim, 2009)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37215183", "locator": "sections[17] \"Data availability statement\" paragraph 2", "quote": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material."}], "state": "complete"}, {"id": "claim-target-result", "statement": "KCNJ15 was identified as a common diagnostic gene for ankylosing spondylitis and ulcerative colitis, with good diagnostic efficacy in the discovery and independent validation datasets.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37215183", "locator": "sections[10] \"3.2 Identification of common diagnostic gene by machine learning algorithm\" paragraph 2", "quote": "Finally, KCNJ15 was identified as the common diagnostic gene of AS and UC (Figure 3C)."}, {"asset": "source:pmid:37215183", "locator": "sections[11] \"3.3 Validation of hub diagnostic genes\" paragraph 2", "quote": "In addition, the ROC analysis results showed that KCNJ15 had good diagnostic efficacy in GSE2510 (AUC = 0.723) and GSE94648 (AUC = 0.963) (Figures 4E, F)."}, {"asset": "source:pmid:37215183", "locator": "sections[11] \"3.3 Validation of hub diagnostic genes\" paragraph 2", "quote": "In the external independent datasets, KCNJ15 also showed potent diagnostic efficacy in GSE73754 (AUC = 0.757) and GSE38713 (AUC = 0.892) (Figures 4G, H)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "KCNJ15 was identified as a common diagnostic gene for ankylosing spondylitis and ulcerative colitis, with good diagnostic efficacy in the discovery and independent validation datasets.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:37215183"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE25101"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE25101"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37215183", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fphys.2023.1146538", "sha256": "sha256:66d57fec33b5b4e63fe7ca5c5270b1b6882932f402cd147d42e3e0daec747c7c", "bytes": 20919, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fphys.2023.1146538", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10196009", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE25101", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE25101", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE25101", "version": null, "note": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM616668", "GSM616669", "GSM616670", "GSM616671", "GSM616672", "GSM616673", "GSM616674", "GSM616675", "GSM616676", "GSM616677", "GSM616678", "GSM616679", "GSM616680", "GSM616681", "GSM616682", "GSM616683", "GSM616684", "GSM616685", "GSM616686", "GSM616687", "GSM616688", "GSM616689", "GSM616690", "GSM616691", "GSM616692", "GSM616693", "GSM616694", "GSM616695", "GSM616696", "GSM616697", "GSM616698", "GSM616699"], "sample_count": 32, "group_sizes": null, "group_sizes_basis": null, "platform": "6947", "taxon": "Homo sapiens", "title": "Expression profiling in whole blood in ankylosing spondylitis patients and controls", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE38713", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE38713", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE38713", "version": null, "note": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM948550", "GSM948551", "GSM948552", "GSM948553", "GSM948554", "GSM948555", "GSM948556", "GSM948557", "GSM948558", "GSM948559", "GSM948560", "GSM948561", "GSM948562", "GSM948563", "GSM948564", "GSM948565", "GSM948566", "GSM948567", "GSM948568", "GSM948569", "GSM948570", "GSM948571", "GSM948572", "GSM948573", "GSM948574", "GSM948575", "GSM948576", "GSM948577", "GSM948578", "GSM948579", "GSM948580", "GSM948581", "GSM948582", "GSM948583", "GSM948584", "GSM948585", "GSM948586", "GSM948587", "GSM948588", "GSM948589", "GSM948590", "GSM948591", "GSM948592"], "sample_count": 43, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Expression data from intestinal mucosa of patients with UC", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE73754", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE73754", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE73754", "version": null, "note": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1902130", "GSM1902131", "GSM1902132", "GSM1902133", "GSM1902134", "GSM1902135", "GSM1902136", "GSM1902137", "GSM1902138", "GSM1902139", "GSM1902140", "GSM1902141", "GSM1902142", "GSM1902143", "GSM1902144", "GSM1902145", "GSM1902146", "GSM1902147", "GSM1902148", "GSM1902149", "GSM1902150", "GSM1902151", "GSM1902152", "GSM1902153", "GSM1902154", "GSM1902155", "GSM1902156", "GSM1902157", "GSM1902158", "GSM1902159", "GSM1902160", "GSM1902161", "GSM1902162", "GSM1902163", "GSM1902164", "GSM1902165", "GSM1902166", "GSM1902167", "GSM1902168", "GSM1902169", "GSM1902170", "GSM1902171", "GSM1902172", "GSM1902173", "GSM1902174", "GSM1902175", "GSM1902176", "GSM1902177", "GSM1902178", "GSM1902179", "GSM1902180", "GSM1902181", "GSM1902182", "GSM1902183", "GSM1902184", "GSM1902185", "GSM1902186", "GSM1902187", "GSM1902188", "GSM1902189", "GSM1902190", "GSM1902191", "GSM1902192", "GSM1902193", "GSM1902194", "GSM1902195", "GSM1902196", "GSM1902197", "GSM1902198", "GSM1902199", "GSM1902200", "GSM1902201"], "sample_count": 72, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Sexual Dimorphism in the Th17 Signature of Ankylosing Spondylitis", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE94648", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE94648", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE94648", "version": null, "note": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2480251", "GSM2480252", "GSM2480253", "GSM2480254", "GSM2480255", "GSM2480256", "GSM2480257", "GSM2480258", "GSM2480259", "GSM2480260", "GSM2480261", "GSM2480262", "GSM2480263", "GSM2480264", "GSM2480265", "GSM2480266", "GSM2480267", "GSM2480268", "GSM2480269", "GSM2480270", "GSM2480271", "GSM2480272", "GSM2480273", "GSM2480274", "GSM2480275", "GSM2480276", "GSM2480277", "GSM2480278", "GSM2480279", "GSM2480280", "GSM2480281", "GSM2480282", "GSM2480283", "GSM2480284", "GSM2480285", "GSM2480286", "GSM2480287", "GSM2480288", "GSM2480289", "GSM2480290", "GSM2480291", "GSM2480292", "GSM2480293", "GSM2480294", "GSM2480295", "GSM2480296", "GSM2480297", "GSM2480298", "GSM2480299", "GSM2480300", "GSM2480301", "GSM2480302", "GSM2480303", "GSM2480304", "GSM2480305", "GSM2480306", "GSM2480307", "GSM2480308", "GSM2480309", "GSM2480310", "GSM2480311", "GSM2480312", "GSM2480313", "GSM2480314", "GSM2480315", "GSM2480316", "GSM2480317", "GSM2480318", "GSM2480319", "GSM2480320", "GSM2480321", "GSM2480322", "GSM2480323", "GSM2480324", "GSM2480325", "GSM2480326", "GSM2480327", "GSM2480328", "GSM2480329", "GSM2480330", "GSM2480331", "GSM2480332", "GSM2480333", "GSM2480334", "GSM2480335", "GSM2480336", "GSM2480337", "GSM2480338", "GSM2480339", "GSM2480340", "GSM2480341", "GSM2480342", "GSM2480343", "GSM2480344", "GSM2480345", "GSM2480346", "GSM2480347"], "sample_count": 97, "group_sizes": null, "group_sizes_basis": null, "platform": "19109", "taxon": "Homo sapiens", "title": "Expression data from peripheral whole blood of non-IBD controls, CD and UC patients", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE25101 not downloaded", "asset:data:geo:GSE25101 licence not read", "asset:data:geo:GSE38713 not downloaded", "asset:data:geo:GSE38713 licence not read", "asset:data:geo:GSE73754 not downloaded", "asset:data:geo:GSE73754 licence not read", "asset:data:geo:GSE94648 not downloaded", "asset:data:geo:GSE94648 licence not read"]}, "analysis": {"state": "complete", "methods": [{"id": "method-1", "family": "machine_learning", "specific": "support_vector_machine", "label": "Machine learning", "dsl_operations": ["train_classifier", "cross_validate", "roc_auc"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["labelled_feature_matrix"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "We applied SVM-RFE to further select core diagnostic genes from the above intersected genes of the AS-related module and UC-related gene module by using the “e1071” R package (Yoon and Kim, 2009)."}}, {"id": "method-2", "family": "diagnostic_evaluation", "specific": "roc", "label": "Diagnostic test evaluation", "dsl_operations": ["confusion_counts", "roc_curve", "sensitivity_specificity", "solve_confusion_matrix", "classification_metrics", "published_precision_envelope"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["reference_standard_and_test"], "evidence": {"score": 0.7, "band": "medium", "quote": "ROC analysis"}}, {"id": "method-3", "family": "epidemiological_modelling", "specific": "incidence_rate", "label": "Epidemiological rate modelling", "dsl_operations": ["incidence_rate_model", "offset_regression"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["event_counts_with_exposure_time"], "evidence": {"score": 0.7, "band": "medium", "quote": "incidence rate"}}], "targets": [], "gaps": []}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["train_classifier", "cross_validate", "roc_auc"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: support_vector_machine."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE25101", "GSE73754", "GSE94648", "GSE38713"], "resolved_accessions": ["GSE25101", "GSE73754", "GSE94648", "GSE38713"], "statements": ["The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material."], "basis": "The paper names GSE25101, GSE73754, GSE94648, GSE38713 in GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["train_classifier", "cross_validate", "roc_auc"], "assets": ["source:pmid:37215183", "data:geo:GSE25101"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE25101"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:41:07Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 6785, "completion_tokens": 2054, "cached_tokens": 256}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:37215183", "type": "paper", "label": "pmid:37215183"}, {"id": "source:pmid:37215183", "type": "manuscript", "label": "PMID 37215183 full text"}, {"id": "data:geo:GSE25101", "type": "dataset", "label": "GEO GSE25101"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:37215183", "type": "paper", "label": "pmid:37215183"}, {"id": "source:pmid:37215183", "type": "manuscript", "label": "PMID 37215183 full text"}, {"id": "data:geo:GSE25101", "type": "dataset", "label": "GEO GSE25101"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-37215183", "type": "extraction", "used": ["source:pmid:37215183"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE25101", "type": "accession_resolution", "used": ["data:geo:GSE25101"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:37215183", "parent_hash": "sha256:d792f29d17b0d558cb79a354bbcf73dc19fe71bcd6a12adb2e57202b5c777bbc", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE25101 licence not read", "asset:data:geo:GSE25101 not downloaded", "asset:data:geo:GSE38713 licence not read", "asset:data:geo:GSE38713 not downloaded", "asset:data:geo:GSE73754 licence not read", "asset:data:geo:GSE73754 not downloaded", "asset:data:geo:GSE94648 licence not read", "asset:data:geo:GSE94648 not downloaded", "execution.not_run", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "machine_learning", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["train_classifier", "cross_validate", "roc_auc"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["We applied SVM-RFE to further select core diagnostic genes from the above intersected genes of the AS-related module and UC-related gene module by using the “e1071” R package (Yoon and Kim, 2009)."], "order_basis": "analysis_only", "id": "assay:1"}]}