Bioconductor version: Release (3.6)
Methods for ranking genes based on convergent evidence obtained from multiple independent evidence layers. This package adapts three methods that are popular for meta-analysis.
Author: Chakravarthi Kanduri
Maintainer: Chakravarthi Kanduri <chakra.kanduri at gmail.com>
Citation (from within R,
enter citation("GenRank")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GenRank")
HTML | R Script | Introduction to GenRank Package |
Reference Manual | ||
Text | NEWS |
biocViews | CopyNumberVariation, GeneExpression, Genetics, Microarray, SNP, Sequencing, Software |
Version | 1.6.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (2 years) |
License | Artistic-2.0 |
Depends | R (>= 3.2.3) |
Imports | matrixStats, reshape2, survcomp |
LinkingTo | |
Suggests | knitr, rmarkdown, testthat |
SystemRequirements | |
Enhances | |
URL | https://github.com/chakri9/GenRank |
BugReports | https://github.com/chakri9/GenRank/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | GenRank_1.6.0.tar.gz |
Windows Binary | GenRank_1.6.0.zip |
Mac OS X 10.11 (El Capitan) | GenRank_1.6.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GenRank |
Package Short Url | http://bioconductor.org/packages/GenRank/ |
Package Downloads Report | Download Stats |
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