The main function biclust() provides several algorithms to
find biclusters in two-dimensional data: Cheng and Church (2000, ISBN:1-57735-115-0),
install.packages("devtools") # If not yet installed on your R Versiondevtools::install_github("Biclustering/biclust")
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.
data(BicatYeast)res<-biclust(BicatYeast, method=BCPlaid(), verbose=FALSE)res
First version released on CRAN: 0.5 (2007-11-29): First Release Second version released on CRAN: 0.7.1 (2009-03-13): New Functions added Third version released on CRAN: 0.7.2 (2009-04-24): Small bugs fixed Fourth version released on CRAN: 0.8.1 (2009-05-07): Major bug fixed in code and in algorithm From Version 0.8.2 new part in BICLUSTRESULT-Class, called info containing additional output from algorithms. Also new BCQuest and BCBimax Algorithms are included. Fifth version released on CRAN: 0.9.1 (2009-12-04): First predict method called predictBimax
Version 0.9.3 has a new developed ensemble method including all needed functions
Version 0.9.4 welcomes Tatsiana as a new developer and has now her diagnostic functions included