MCbiclust: MCbiclust: Massively Correlated biclustering
In compmedlab/MCbiclust: Massive correlating biclusters for gene expression data and associated methods
Description
MCbiclust is a R package for running massively correlating biclustering
analysis.MCbiclust aims to find large scale biclusters with selected
features being highly correlated with each other over a subset of samples.
Details
The package was originally designed in order to solve a problem in
bioinformatics: to find biclusters representing different modes of regulation
of mitochondria gene expression in disease states such as breast cancer.
The same methods however, can be used on any gene expression data set to
find biclusters of interest.
To learn more about MCbiclust, start with the vignette:
browseVignettes(package = "MCbiclust")
compmedlab/MCbiclust documentation built on March 9, 2020, 12:14 a.m.
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
MCbiclust is a R package for running massively correlating biclustering analysis.MCbiclust aims to find large scale biclusters with selected features being highly correlated with each other over a subset of samples.
Details
The package was originally designed in order to solve a problem in bioinformatics: to find biclusters representing different modes of regulation of mitochondria gene expression in disease states such as breast cancer. The same methods however, can be used on any gene expression data set to find biclusters of interest.
To learn more about MCbiclust, start with the vignette:
browseVignettes(package = "MCbiclust")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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