eisa

Expression data analysis via the Iterative Signature Algorithm

Bioconductor version: Release (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

Maintainer: Gabor Csardi

To install this package, start R and enter:

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

Documentation

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

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
Version 1.2.0

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
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