Expression data analysis via the Iterative Signature Algorithm

Bioconductor version: Release (2.11)

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>

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


biocViews Classification, GeneExpression, Microarray, Software, Visualization
Version 1.10.0
In Bioconductor since BioC 2.6 (R-2.11)
License GPL (>= 2)
Depends BiocGenerics(>= 0.3.2), methods, isa2, Biobase(>= 2.17.8), AnnotationDbi, Category(>= 2.23.4), genefilter, DBI
Imports BiocGenerics
Suggests igraph0 (>= 0.5.5), Matrix, GOstats, GO.db, KEGG.db, biclust, MASS, xtable, ALL, hgu95av2.db, targetscan.Hs.eg.db, org.Hs.eg.db
System Requirements
Depends On Me ExpressionView
Imports Me ExpressionView
Suggests Me

Package Downloads

Package Source eisa_1.10.0.tar.gz
Windows Binary eisa_1.10.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) eisa_1.10.0.tgz
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