NCBI PubMed Central
open access
Quantifying pathway perturbations based on gene network rewiring in sepsis progression toward death or survival.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Combining bioinformatics and machine learning to analyze and validate sepsis-related cell senescence genes and potential drugs.#251041
- Combining bioinformatics and machine learning to analyze and validate sepsis-related cell senescence genes and potential drugs.#248103
- PathMoG: A Pathway-Centric Modular Graph Neural Network for Multi-Omics Survival Prediction#138949
- Bioinformatics analysis reveals the association of bile acid metabolism-related genes with sepsis#362519
- ICU-acquired infections and mortality in community-acquired pneumonia–induced sepsis: Insights from a transcriptomic analysis#263298
Record · ID 653396
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive