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
| Maintainer | Igor Kuznetsov <ibkalb@gmail.com> |
| Author | Igor Kuznetsov [aut, cre], Javed Khan [aut] |
| License | Artistic-2.0 |
| Downloads rank | 287 |
| Source branch | RELEASE_3_23 |
| biocViews | GeneExpression, Software, StatisticalMethod, Survival |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | kmcut_1.6.0.tar.gz |
| Windows binary (x86_64) | kmcut_1.6.0.zip |
| macOS binary (arm64) | kmcut_1.6.0.tgz |
| macOS binary (x86_64) | kmcut_1.6.0.tgz |