BiclustMethod

BiclustMethod-class

BiclustMethod is the virtual class structure for algorithms provided in the package. In order to use the <code>biclust()</code> function a algorithm has to have a class inherit from here.

classes

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.

Sebastian Kaiser

biclust

BiCluster Algorithms

BiclustMethod-class function

Currently 6 classes inherit from BiclustMethod:
 <code>BCCC</code>, <code>BCXmotifs</code>, <code>BCPlaid</code>, <code>BCSpectral</code>, <code>BCBimax</code>, <code>BCQuest</code>

Algorithms

Sebastian Kaiser 
<a href="/link/sebastian.kaiser%40stat.uni-muenchen.de?package=biclust&version=2.0.3.1" data-mini-rdoc="biclust::sebastian.kaiser@stat.uni-muenchen.de">sebastian.kaiser@stat.uni-muenchen.de</a>

Author

The BiclustMethod Virtual Class — BiclustMethod-class

Sebastian Kaiser 
<a href='mailto:sebastian.kaiser@stat.uni-muenchen.de'>sebastian.kaiser@stat.uni-muenchen.de</a>

BiclustMethod-class: The BiclustMethod Virtual Class

Description

Arguments

Algorithms

Author

See Also