eisa

Expression data analysis via the Iterative Signature Algorithm

Bioconductor version: 2.7

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 <Gabor.Csardi at unil.ch>

Maintainer: Gabor Csardi <Gabor.Csardi at unil.ch>

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, Visualization, Microarray, GeneExpression
Depends methods, isa2, Biobase, AnnotationDbi, Category, genefilter, DBI
Imports
Suggests igraph (>= 0.5.2), Matrix, GOstats, GO.db, KEGG.db, biclust, MASS, xtable, ALL, hgu95av2.db
System Requirements
License GPL (>= 2)
URL
Depends On Me
Imports Me ExpressionView
Suggests Me
Version 1.2.0
Since Bioconductor 2.6 (R-2.11)

Package Downloads

Package Source eisa_1.2.0.tar.gz
Windows Binary eisa_1.2.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary eisa_1.2.0.tgz
Package Downloads Report Download Stats

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