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BootMRMR  

Bootstrap-MRMR Technique for Informative Gene Selection
View on CRAN: Click here


Download and install BootMRMR package within the R console
Install from CRAN:
install.packages("BootMRMR")

Install from Github:
library("remotes")
install_github("cran/BootMRMR")

Install by package version:
library("remotes")
install_version("BootMRMR", "0.1")



Attach the package and use:
library("BootMRMR")
Maintained by
Samarendra Das
[Scholar Profile | Author Map]
First Published: 2016-09-12
Latest Update: 2016-09-12
Description:
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).
How to cite:
Samarendra Das (2016). BootMRMR: Bootstrap-MRMR Technique for Informative Gene Selection. R package version 0.1, https://cran.r-project.org/web/packages/BootMRMR. Accessed 03 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited BootMRMR R package
View BootMRMR citation profile
Other R packages that BootMRMR depends, imports, suggests or enhances
Complete documentation for BootMRMR
Functions, R codes and Examples using the BootMRMR R package
Some associated functions: Weights.mrmr . bmrmr.pval.cutoff . bmrmr.weight.cutoff . bootmr.weight . geneslect.f . mbmr.pval.cutoff . mbmr.weight.cutoff . mrmr.cutoff . pval.bmrmr . pval.mbmr . rice_salt . topsis.meth . weight.mbmr . 
Some associated R codes: BoootMRMR.R .  Full BootMRMR package functions and examples
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