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
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:

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