kmcut (original) (raw)

This is the released version of kmcut; for the devel version, seekmcut.

Optimized Kaplan Meier analysis and identification and validation of prognostic biomarkers

Bioconductor version: Release (3.21)

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.

Author: Igor Kuznetsov [aut, cre], Javed Khan [aut]

Maintainer: Igor Kuznetsov

Citation (from within R, enter citation("kmcut")):

Installation

To install this package, start R (version "4.5") and enter:

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

BiocManager::install("kmcut")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("kmcut")

Details

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Follow Installation instructions to use this package in your R session.