asuri
ASURI discovers marker genes related to risk prediction capabilities and to a clinical variable of interest by implementing subsampling glmnet and unicox for survival analysis.
Key Features:
- Marker Gene Discovery: Identifies genes associated with risk prediction capabilities and a specified clinical variable.
- Risk Score Prediction: Computes patient risk scores based on identified gene signatures.
- Visualization: Generates plots for gene relevance, risk scores, patient stratification, and robust Kaplan-Meier curves.
Scientific Applications:
- Survival Analysis: Discovers survival markers related to clinical phenotypes in patient cohorts.
- Patient Risk Stratification: Stratifies patients by risk based on gene signature-derived scores.
Methodology:
ASURI uses two main steps: subsampling glmnet and unicox.
Collections
Details
- License:
- LGPL-3.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 9/1/2026
- Last Updated:
- 9/1/2026
Operations
Publications
Documentation
User manual
https://bioconductor.org/packages/asuriDownloads
- Source codehttps://github.com/jdelasrivas-lab/asuri