Massive correlating biclusters for gene expression data and associated methods

Documentation for package ‘MCbiclust’ version 1.11.0

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