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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: BootMRMR results


Reference manual: BootMRMR.pdf


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

Reverse dependencies:

Reverse imports: IGST


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