runibic: row-based biclustering algorithm for analysis of gene expression data in R

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Documentation for package ‘runibic’ version 1.16.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

runibic-package	runibic: parallel row-based biclustering algorithm for analysis of gene expression data in R
backtrackLCS	Retrieving a Longest Common Subsequence between two integer vectors.
BCUnibic	runibic: parallel row-based biclustering algorithm for analysis of gene expression data in R
BCUnibic-class	Class BCUnibic
BCUnibicD	runibic: parallel row-based biclustering algorithm for analysis of gene expression data in R
BCUnibicD-class	Class BCUnibicD
calculateLCS	Calculate all Longest Common Subsequences between a matrix.
cluster	Calculate biclusters from sorted list of LCS scores and row indices
pairwiseLCS	Calculate a matrix of Longest Common Subsequence (LCS) between a pair of numeric vectors
runibic	runibic: parallel row-based biclustering algorithm for analysis of gene expression data in R
runiDiscretize	Discretize an input matrix
set_runibic_params	Set the parameters for runibic algorithm
unisort	Computing the indexes of j-th smallest values of each row