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).
|Author||Samarendra Das <email@example.com>|
|Date of publication||2016-09-12 15:08:51|
|Maintainer||Samarendra Das <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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