bere: Bipartite Edge Reconstruction from Expression data

In dschlauch/bere: Generates a bipartite network from expression and motif data

Description

This function generates a complete bipartite network from gene expression data and sequence motif data

Usage

bere(motif.data, expr.data, verbose = T, randomize = "none", cpp = T)

Arguments

verbose	logical to indicate printing of output for algorithm progress.
cpp	logical use C++ for maximum speed, set to false if unable to run.
motif	A motif dataset, a data.frame, matrix or exprSet containing 3 columns. Each row describes an motif associated with a transcription factor (column 1) a gene (column 2) and a score (column 3) for the motif.
expr	An expression dataset, as a genes (rows) by samples (columns) data.frame

Value

TBD, An object of class "bere" (currently matrix or data.frame)

Examples

data(yeast)

dschlauch/bere documentation built on May 15, 2019, 2:58 p.m.