eisa

Expression data analysis via the Iterative Signature Algorithm

Bioconductor version: Release (2.14)

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.

Author: Gabor Csardi <csardi.gabor at gmail.com>

Maintainer: Gabor Csardi <csardi.gabor at gmail.com>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("eisa")

To cite this package in a publication, start R and enter:

    citation("eisa")

Documentation

PDF R Script The eisa and the biclust packages
PDF R Script The Iterative Signature Algorithm for Gene Expression Data
PDF   Reference Manual

Details

biocViews Classification, GeneExpression, Microarray, Software, Visualization
Version 1.16.0
In Bioconductor since BioC 2.6 (R-2.11)
License GPL (>= 2)
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
System Requirements
URL
Depends On Me ExpressionView
Imports Me ExpressionView
Suggests Me

Package Downloads

Package Source eisa_1.16.0.tar.gz
Windows Binary eisa_1.16.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) eisa_1.16.0.tgz
Mac OS X 10.9 (Mavericks)
Package Downloads Report Download Stats

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