CRAN/E | biclust

biclust

BiCluster Algorithms

Installation

About

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.

Key Metrics

Version 2.0.3.1
R ≥ 2.10
Published 2023-05-19 429 days ago
Needs compilation? yes
License GPL-3
CRAN checks biclust results

Downloads

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Last 7 days 470 -23%
Last 30 days 2.348 -12%
Last 90 days 7.971 -10%
Last 365 days 38.338 -11%

Maintainer

Maintainer

Sebastian Kaiser

Authors

Sebastian Kaiser
Rodrigo Santamaria
Tatsiana Khamiakova
Martin Sill
Roberto Theron
Luis Quintales
Friedrich Leisch
Ewoud De Troyer
Sami Leon.

Material

NEWS
Reference manual
Package source

In Views

Cluster

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

biclust archive

Depends

R ≥ 2.10
MASS
grid
colorspace
lattice

Imports

methods
flexclust
additivityTests
tidyr
ggplot2

Suggests

isa2

Reverse Depends

iBBiG
QUBIC
RcmdrPlugin.BiclustGUI
runibic
s4vd
superbiclust

Reverse Imports

Anthropometry
BiBitR
biclustermd
FunCC
miRSM
mosbi
rqubic
sigQC

Reverse Suggests

BcDiag
isa2
rattle