eisa

Expression data analysis via the Iterative Signature Algorithm

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
Maintainer	Gabor Csardi

To install this package, start R and enter:

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

Documentation

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

Details

biocViews	Classification , Visualization , Microarray , GeneExpression
Depends	methods , isa2 , Biobase , AnnotationDbi , Category , genefilter , DBI
Imports
Suggests	igraph , 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

Package Downloads

Package source	eisa_1.0.0.tar.gz
Windows 32-bit binary	eisa_1.0.0.zip
Windows 64-bit binary	eisa_1.0.0.zip
MacOS X 10.5 (Leopard) binary	eisa_1.0.0.tgz
Package Downloads Report	Downloads Stats