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biclust (version 1.2.0)

BiCluster Algorithms

Description

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.

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Version

Install

install.packages('biclust')

Monthly Downloads

2,414

Version

1.2.0

License

GPL-3

Maintainer

Sebastian Kaiser

Last Published

May 12th, 2015

Functions in biclust (1.2.0)

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
BiclustMethod-class

The BiclustMethod Virtual Class
BCQuest

The Questmotif Bicluster algorithm
Biclust-class

The Biclust Class
BCBimax

The Bimax Bicluster algorithm
BCCC

The CC Bicluster algorithm
biclust

The biclust Method
biclustmember

Bicluster Membership Graph
BCXmotifs

The Xmotifs Bicluster algorithm
biclustbarchart

Bicluster Barchart
bicluster

Extract Bilcuster
isoverlapp

Is Bicresult overlapping?
plotclust

Barplot of Bicluster
writeclust

Write a Bicluster as a Cluster Result
discretize

Create a discret matrix
predictBimax

Predict from a BCrepBimax Result