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Expression data analysis via the Iterative Signature Algorithm

Bioconductor version: Release (3.1)

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>

Maintainer: Gabor Csardi <csardi.gabor at>

Citation (from within R, enter citation("eisa")):


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


biocViews Classification, GeneExpression, Microarray, Software, Visualization
Version 1.20.0
In Bioconductor since BioC 2.6 (R-2.11) (5.5 years)
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,,
Depends On Me ExpressionView
Imports Me ExpressionView
Suggests Me
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