DOI: 10.18129/B9.bioc.MCbiclust    

This is the development version of MCbiclust; for the stable release version, see MCbiclust.

Massive correlating biclusters for gene expression data and associated methods

Bioconductor version: Development (3.7)

Custom made algorithm and associated methods for finding, visualising and analysing biclusters in large gene expression data sets. Algorithm is based on with a supplied gene set of size n, finding the maximum strength correlation matrix containing m samples from the data set.

Author: Robert Bentham

Maintainer: Robert Bentham <robert.bentham.11 at>

Citation (from within R, enter citation("MCbiclust")):


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HTML R Script Introduction to MCbiclust
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biocViews Clustering, GeneExpression, Microarray, RNASeq, Software, StatisticalMethod
Version 1.3.2
In Bioconductor since BioC 3.5 (R-3.4) (1 year)
License GPL-2
Depends R (>= 3.4)
Imports BiocParallel, graphics, utils, stats, AnnotationDbi, GO.db,, GGally, ggplot2, scales, cluster, WGCNA
Suggests gplots, knitr, rmarkdown, BiocStyle, gProfileR, MASS, dplyr, pander, devtools, testthat
Depends On Me
Imports Me
Suggests Me
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