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asuri

Analysis of SUrvival and RIsk prediction in patients based on gene signatures

Bioconductor version: 3.23 · Package version: 1.0.0

The ASURI (Analysis of SUrvival and patients RIsk prediction based on gene signatures) package discovers marker genes that are related to risk prediction capabilities and to a clinical variable of interest. It uses two main steps, including subsampling glmnet and unicox. The package implements robust functions to discover survival markers related to a clinical phenotype and to predict a risk score, allowing to study the patient's risk based on the gene signatures. Several plots are provided to visualise the relevance of the genes, the risk score, and patient stratification, as well as a robust version of the Kaplan-Meier curves.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("asuri")

Details

MaintainerAlberto Berral-Gonzalez <aberralgonzalez@gmail.com>
AuthorAlberto Berral-Gonzalez [aut, cre, ctb] (ORCID: <https://orcid.org/0000-0001-8388-6051>), MarĂ­a Sanchez-Martin [aut, ctb] (ORCID: <https://orcid.org/0009-0006-5549-6113>), Santiago Bueno-Fortes [aut, ctb] (ORCID: <https://orcid.org/0000-0001-7141-2860>), Natalia Alonso-Moreda [aut, ctb] (ORCID: <https://orcid.org/0000-0002-2347-5127>), Jose Manuel Sanchez-Santos [aut, ctb] (ORCID: <https://orcid.org/0000-0002-7434-7598>), Manuel Martin-Merino Acera [aut, ctb] (ORCID: <https://orcid.org/0000-0002-5914-2332>), Javier De Las Rivas [aut, ctb] (ORCID: <https://orcid.org/0000-0002-0984-9946>)
LicenseLGPL-3 + file LICENSE
URLhttps://github.com/jdelasrivas-lab/asuri
Bug Reportshttps://github.com/jdelasrivas-lab/asuri/issues
Downloads rank88
Source branchRELEASE_3_23
biocViewsDifferentialExpression, ExonArray, GeneExpression, GenePrediction, Microarray, MultipleComparison, Regression, Software, StatisticalMethod, Survival, WorkflowStep

Documentation

Download

Dependencies

Depends: R (>= 4.5.0), stats, methods

Imports: SummarizedExperiment, spsUtil, lubridate, survival, glmnet, siggenes, survcomp, scales, ROCR, ggplot2, grDevices, graphics, utils, Rdpack

Suggests: BiocStyle, knitr, formatR, rmarkdown, magick, devtools