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pmid:40421217

Single-cell transcriptomics and machine learning unveil ferroptosis features in tumor-associated macrophages: Prognostic model and therapeutic strategies for lung adenocarcinoma.

Frontiers in pharmacology · 2025 doi:10.3389/fphar.2025.1598756

Paper

partial

Experiment

partial

Data

partial

Analysis

absent

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:40421217
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science-record
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title
Single-cell transcriptomics and machine learning unveil ferroptosis features in tumor-associated macrophages: Prognostic model and therapeutic strategies for lung adenocarcinoma.
doi
10.3389/fphar.2025.1598756
pmid
40421217
authors
null
journal
Frontiers in pharmacology
year
2025
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the headline numerical result the paper states for its main finding
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The number a replication must land on, and the sentence it came from.
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the published estimate, its unit and its interval
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no owned computational capability is bound to this experiment
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Re-run the paper's analysis on the source data and produce the registered result. | SEP input not carried into the asset list: materials:the source data behind the published result in pmid:40421217
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