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 gmail.com> |
License: |
GPL-3 |
NeedsCompilation: |
yes |
Materials: |
README NEWS |
In views: |
Cluster, Graphics |
CRAN checks: |
biclust results |
Downloads:
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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