This is the development version of kmcut; for the stable release version, see kmcut.
Optimized Kaplan Meier analysis and identification and validation of prognostic biomarkersBioconductor version: Development (3.22)
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 <ibkalb at gmail.com>
Citation (from within R, entercitation("kmcut")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("kmcut")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("kmcut")Follow Installation instructions to use this package in your R session.
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