Package: eisa
Version: 1.10.0
Date: Sep 22, 2012
Title: Expression data analysis via the Iterative Signature Algorithm
Author: Gabor Csardi <csardi.gabor@gmail.com>
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Description: The Iterative Signature Algorithm (ISA) is a biclustering 
  method; it finds correlated blocks (transcription modules) in gene
  expression (or other tabular) data. The ISA is capable of finding
  overlapping modules and it is resilient to noise. This package
  provides a convenient interface to the ISA, using standard
  BioConductor data structures; and also contains various
  visualization tools that can be used with other biclustering
  algorithms.
Depends: BiocGenerics (>= 0.3.2), methods, isa2, Biobase (>= 2.17.8),
        AnnotationDbi, Category (>= 2.23.4), genefilter, DBI
Imports: BiocGenerics
Suggests: igraph0 (>= 0.5.5), Matrix, GOstats, GO.db, KEGG.db, biclust,
        MASS, xtable, ALL, hgu95av2.db, targetscan.Hs.eg.db,
        org.Hs.eg.db
License: GPL (>= 2)
biocViews: Classification, Visualization, Microarray, GeneExpression
Collate: AllClasses.R AllGenerics.R ISAExpressionSet-methods.R
        ISAModules-methods.R enrichment.R CHR.R GO.R KEGG.R miRNA.R
        autil.R autogen.R biclust.R eisa.R viz.R zzz.R
        generalenrichment.R
Packaged: 2012-10-02 07:03:12 UTC; biocbuild
Built: R 2.15.1; ; 2012-10-02 12:51:48 UTC; windows
