Last data update: 2014.03.03

superbiclust

Package: superbiclust
Type: Package
Title: Generating Robust Biclusters from a Bicluster Set (Ensemble
Biclustering)
Version: 1.1
Date: 2012-08-23
Author: Tatsiana Khamiakova
Maintainer: Tatsiana Khamiakova <tatsiana.khamiakova@uhasselt.be>
Depends: biclust, fabia
Imports: methods, Matrix
Description: Biclusters are submatrices in the data matrix which
satisfy certain conditions of homogeneity. Package contains
functions for generating robust biclusters with respect to the
initialization parameters for a given bicluster solution
contained in a bicluster set in data, the procedure is also
known as ensemble biclustering. The set of biclusters is
evaluated based on the similarity of its elements (the
overlap), and afterwards the hierarchical tree is constructed
to obtain cut-off points for the classes of robust biclusters.
The result is a number of robust (or super) biclusters with
none or low overlap.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2014-11-27 15:45:10 UTC; rforge
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-11-27 23:20:02
Repository/R-Forge/Project: superbiclust
Repository/R-Forge/Revision: 14
Repository/R-Forge/DateTimeStamp: 2014-11-27 15:39:29

● 0 images, 17 functions, 0 datasets
Reverse Depends: 1

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'superbiclust' ...
** package 'superbiclust' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'superbiclust'
    finding HTML links ... done
    BiclustSet-class                        html  
    BiclustSet-methods                      html  
    HCLtree                                 html  
    biclustSim-package                      html  
    combine                                 html  
    getStats                                html  
    jaccardMat                              html  
    kulczynskiMat                           html  
    ochiaiMat                               html  
    plotProfilesAcrossAllsamples            html  
    plotProfileswithinBicluster             html  
    plotSuper                               html  
    plotSuperAll                            html  
    sensitivityMat                          html  
    similarity                              html  
    sorensenMat                             html  
    specificityMat                          html  
** building package indices
** testing if installed package can be loaded
* DONE (superbiclust)
Making 'packages.html' ... done