BiCluster Algorithms
The Bimax Bicluster algorithm
The CC Bicluster algorithm
The Plaid Model Bicluster algorithm
The Questmotif Bicluster algorithm
The Spectral Bicluster algorithm
The Xmotifs Bicluster algorithm
The biclust Method
The Biclust Class
Bicluster Barchart
Extract Bilcuster
The BiclustMethod Virtual Class
Parameter Grid for BCBimax Biclustering
Binarize
Bubbleplot
Chia and Karuturi Function
Bicluster Membership Graph
Coherence measures
Diagnostic F Statistic Calculation
Bootstrap Procedure for Bicluster Diagnostics
Diagnostic F Statistics Visualization
Diagnostics F Statistiics Visualization
Testing Procedure for Bicluster Diagnostics
Create a discret matrix
Draw Heatmap
Ensemble Methods for Bicluster Algorithms
Overlapping Heatmap
Is Bicresult overlapping?
Jaccardind
Parallel Coordinates
Parameter Grid for BCPlaid Biclustering
Barplot of Bicluster
Predict from a BCrepBimax Result
writeBiclusterResults
Write a Bicluster as a Cluster Result
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) <doi:10.1101/gr.648603>, plaid model (2005) <doi:10.1016/j.csda.2004.02.003>, xmotifs (2003) <doi:10.1142/9789812776303_0008> and bimax (2006) <doi:10.1093/bioinformatics/btl060>. In addition, the package provides methods for data preprocessing (normalization and discretisation), visualisation, and validation of bicluster solutions.