Massive correlating biclusters for gene expression data and associated methods


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Documentation for package ‘MCbiclust’ version 1.11.0

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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