Learn R Programming

biclust (version 2.0.3.1)

BiCluster Algorithms

Description

The main function biclust() provides several algorithms to find biclusters in two-dimensional data: Cheng and Church (2000, ISBN:1-57735-115-0), spectral (2003) , plaid model (2005) , xmotifs (2003) and bimax (2006) . In addition, the package provides methods for data preprocessing (normalization and discretisation), visualisation, and validation of bicluster solutions.

Copy Link

Version

Install

install.packages('biclust')

Monthly Downloads

2,987

Version

2.0.3.1

License

GPL-3

Maintainer

Sebastian Kaiser

Last Published

May 19th, 2023

Functions in biclust (2.0.3.1)

The Xmotifs Bicluster algorithm

The Spectral Bicluster algorithm

The biclust Method

Extract Bilcuster

Chia and Karuturi Function

The Questmotif Bicluster algorithm

The Plaid Model Bicluster algorithm

Parameter Grid for BCBimax Biclustering

Overlapping Heatmap

biclustbarchart

Bicluster Barchart

The Biclust Class

Bicluster Membership Graph

Diagnostic F Statistics Visualization

computeObservedFstat

Diagnostic F Statistic Calculation

Coherence measures

Bootstrap Procedure for Bicluster Diagnostics

diagnosticPlot2

Diagnostics F Statistiics Visualization

SynTReN E. coli

Write a Bicluster as a Cluster Result

Parameter Grid for BCPlaid Biclustering

Barplot of Bicluster

Is Bicresult overlapping?

Ensemble Methods for Bicluster Algorithms

Predict from a BCrepBimax Result

writeBiclusterResults

writeBiclusterResults

Testing Procedure for Bicluster Diagnostics

Create a discret matrix

parallelCoordinates

Parallel Coordinates

The CC Bicluster algorithm

BiclustMethod-class

The BiclustMethod Virtual Class

The Bimax Bicluster algorithm