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BootMRMR: Bootstrap-MRMR Technique for Informative Gene Selection

Selection of informative features like genes, transcripts, RNA seq, etc. using Bootstrap Maximum Relevance and Minimum Redundancy technique from a given high dimensional genomic dataset. Informative gene selection involves identification of relevant genes and removal of redundant genes as much as possible from a large gene space. Main applications in high-dimensional expression data analysis (e.g. microarray data, NGS expression data and other genomics and proteomics applications).

Version: 0.1
Depends: R (≥ 3.3.1)
Published: 2016-09-12
DOI: 10.32614/CRAN.package.BootMRMR
Author: Samarendra Das
Maintainer: Samarendra Das <samarendra4849 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: BootMRMR results

Documentation:

Reference manual: BootMRMR.pdf

Downloads:

Package source: BootMRMR_0.1.tar.gz
Windows binaries: r-devel: BootMRMR_0.1.zip, r-release: BootMRMR_0.1.zip, r-oldrel: BootMRMR_0.1.zip
macOS binaries: r-release (arm64): BootMRMR_0.1.tgz, r-oldrel (arm64): BootMRMR_0.1.tgz, r-release (x86_64): BootMRMR_0.1.tgz, r-oldrel (x86_64): BootMRMR_0.1.tgz

Reverse dependencies:

Reverse imports: IGST

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BootMRMR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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