# Massive correlating biclusters for gene expression data and associated methods

## Documentation for package ‘MCbiclust’ version 1.4.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

MCbiclust-package | MCbiclust: Massively Correlated biclustering
CCLE_samples | Clinical information for CCLE data
CCLE_small | Subset of expression levels of CCLE data
CorScoreCalc | Calculate correlation score
CVEval | Method for the calculation of a correlation vector
CVPlot | Make correlation vector plot
FindSeed | Find highly correlated seed of samples for gene expression matrix
ForkClassifier | Methods for defining a bicluster
GOEnrichmentAnalysis | Calculate gene set enrichment of correlation vector using Mann-Whitney test
HclustGenesHiCor | Find the most highly correlated genes using hierarchical clustering
MCbiclust | MCbiclust: Massively Correlated biclustering
Mitochondrial_genes | List of known mitochondrial genes
MultiSampleSortPrep | Methods for ordering samples
PC1Align | Methods for defining a bicluster
PC1VecFun | Calculate PC1 vector of found pattern
PointScoreCalc | Calculate PointScore
SampleSort | Methods for ordering samples
SilhouetteClustGroups | Slihouette validation of correlation vector clusters
ThresholdBic | Methods for defining a bicluster