Package: eisa
Version: 1.42.0
Date: 2014-03-26
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: isa2, Biobase (>= 2.17.8), AnnotationDbi, methods
Imports: BiocGenerics, Category, genefilter, DBI
Suggests: igraph (>= 0.6), 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
git_url: https://git.bioconductor.org/packages/eisa
git_branch: RELEASE_3_12
git_last_commit: 1feb134
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-27
NeedsCompilation: no
Packaged: 2020-10-28 01:30:12 UTC; biocbuild
Built: R 4.0.3; ; 2020-10-28 14:07:28 UTC; windows
