DOI: 10.18129/B9.bioc.eisa    

Expression data analysis via the Iterative Signature Algorithm

Bioconductor version: Release (3.6)

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 R Script The Iterative Signature Algorithm for Gene Expression Data
PDF   Reference Manual


biocViews Classification, GeneExpression, Microarray, Software, Visualization
Version 1.30.0
In Bioconductor since BioC 2.6 (R-2.11) (8 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, targetscan.Hs.eg.db, org.Hs.eg.db
Depends On Me ExpressionView
Imports Me ExpressionView
Suggests Me
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Source Package eisa_1.30.0.tar.gz
Windows Binary eisa_1.30.0.zip
Mac OS X 10.11 (El Capitan) eisa_1.30.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/eisa
Package Short Url http://bioconductor.org/packages/eisa/
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