biclust v1.2.0

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BiCluster Algorithms

The main function biclust provides several algorithms to find biclusters in two-dimensional data: Cheng and Church, Spectral, Plaid Model, Xmotifs and Bimax. In addition, the package provides methods for data preprocessing (normalization and discretisation), visualisation, and validation of bicluster solutions.

Functions in biclust

Name Description
ChiaKaruturi Chia and Karuturi Function
writeBiclusterResults writeBiclusterResults
heatmapBC Overlapping Heatmap
bimax.grid Parameter Grid for BCBimax Biclustering
computeObservedFstat Diagnostic F Statistic Calculation
EisenYeast Eisen Yeast
coherence Coherence measures
ensemble Ensemble Methods for Bicluster Algorithms
diagnoseColRow Bootstrap Procedure for Bicluster Diagnostics
binarize Binarize
diagnosticPlot Diagnostic F Statistics Visualization
BicatYeast BicAT Yeast
bubbleplot Bubbleplot
BCSpectral The Spectral Bicluster algorithm
SyntrenEcoli SynTReN E. coli
BCPlaid The Plaid Model Bicluster algorithm
drawHeatmap Draw Heatmap
plaid.grid Parameter Grid for BCPlaid Biclustering
parallelCoordinates Parallel Coordinates
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Details

Date 2015-05-08
License GPL-3
LazyLoad yes
Repository CRAN
Repository/R-Forge/Project biclust
Repository/R-Forge/Revision 225
Date/Publication 2015-05-12 11:44:19
NeedsCompilation yes
Repository/R-Forge/DateTimeStamp 2015-05-08 13:40:16
Packaged 2015-05-11 20:10:09 UTC; rforge

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