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Package: eisa
Version: 1.24.0
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
NeedsCompilation: no
Packaged: 2016-05-04 03:23:38 UTC; biocbuild
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providing 
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