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Data · dataset · 2026

Transcriptome-Informed Drug Repurposing for Sepsis-Induced Acute Respiratory Distress Syndrome: A Connectivity-Map Analysis of Public Blood Cohorts

Listed in Teesside University Research Data Repository

Reproducibility package for the study "Transcriptome-Informed Drug Repurposing for Sepsis-Induced Acute Respiratory Distress Syndrome: A Connectivity-Map Analysis of Public Blood Cohorts".

Description

Contains the complete R/Python analysis pipeline (differential expression with limma, enrichment analysis, LINCS/CMap connectivity scoring, Fisher meta-analysis, drug-target network construction, day-0 and confounder sensitivity analyses), all derived result tables backing every reported number, source figures, execution logs, renv.lock with pinned package versions, CITATION.cff, LICENSE (MIT for code; CC BY 4.0 for data/figures), MANIFEST.sha256, and README.md.

Primary microarray cohorts (GSE10474, GSE32707, GSE66890) are publicly available in GEO and are not redistributed; the LINCS L1000 compound signatures were obtained from public Enrichr/CLUE resources.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 8 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/gbww9jr739.115 h agoJSON v1
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concepts[field].local:field:life-sciencesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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