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kmcut

Optimized Kaplan Meier analysis and identification and validation of prognostic biomarkers

Bioconductor version: 3.23 · Package version: 1.6.0

The purpose of the package is to identify prognostic biomarkers and an optimal numeric cutoff for each biomarker that can be used to stratify a group of test subjects (samples) into two sub-groups with significantly different survival (better vs. worse). The package was developed for the analysis of gene expression data, such as RNA-seq. However, it can be used with any quantitative variable that has a sufficiently large proportion of unique values.

Installation

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

BiocManager::install("kmcut")

Details

MaintainerIgor Kuznetsov <ibkalb@gmail.com>
AuthorIgor Kuznetsov [aut, cre], Javed Khan [aut]
LicenseArtistic-2.0
Downloads rank151
Source branchRELEASE_3_23
biocViewsGeneExpression, Software, StatisticalMethod, Survival

Documentation

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Dependencies

Imports: survival, tools, methods, pracma, doParallel, foreach, parallel, SummarizedExperiment, S4Vectors

Suggests: BiocStyle, knitr, rmarkdown