biclust: BiCluster Algorithms

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.

Version: 2.0.2
Depends: R (≥ 2.10), MASS, grid, colorspace, lattice
Imports: methods, flexclust, additivityTests, tidyr, ggplot2
Suggests: isa2
Published: 2020-02-04
Author: Sebastian Kaiser, Rodrigo Santamaria, Tatsiana Khamiakova, Martin Sill, Roberto Theron, Luis Quintales, Friedrich Leisch and Ewoud De Troyer.
Maintainer: Sebastian Kaiser <dr.sebastian.kaiser at>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
In views: Cluster, Graphics
CRAN checks: biclust results


Reference manual: biclust.pdf
Package source: biclust_2.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: biclust_2.0.2.tgz, r-oldrel: biclust_2.0.2.tgz
Old sources: biclust archive

Reverse dependencies:

Reverse depends: iBBiG, QUBIC, RcmdrPlugin.BiclustGUI, runibic, s4vd, superbiclust
Reverse imports: Anthropometry, BiBitR, biclustermd, FunCC, miRSM, rqubic, sigQC
Reverse suggests: BcDiag, eisa, ExpressionView, isa2, rattle, seriation


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