survtype
This is the development version of survtype; for the stable release version, see survtype.
Subtype Identification with Survival Data
Bioconductor version: Development (3.19)
Subtypes are defined as groups of samples that have distinct molecular and clinical features. Genomic data can be analyzed for discovering patient subtypes, associated with clinical data, especially for survival information. This package is aimed to identify subtypes that are both clinically relevant and biologically meaningful.
Author: Dongmin Jung
Maintainer: Dongmin Jung <dmdmjung at gmail.com>
citation("survtype")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("survtype")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | Clustering, Coverage, GeneExpression, Sequencing, Software, StatisticalMethod, Survival |
| Version | 1.19.0 |
| In Bioconductor since | BioC 3.9 (R-3.6) (5 years) |
| License | Artistic-2.0 |
| Depends | SummarizedExperiment, pheatmap, survival, survminer, clustvarsel, stats, utils |
| Imports | |
| System Requirements | |
| URL |
See More
| Suggests | maftools, scales, knitr, rmarkdown |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/survtype |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/survtype |
| Package Short Url | https://bioconductor.org/packages/survtype/ |
| Package Downloads Report | Download Stats |