eisa

Expression data analysis via the Iterative Signature Algorithm

Bioconductor version: 2.9

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>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("eisa")

Documentation

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

Details

biocViews	Classification, Visualization, Microarray, GeneExpression
Depends	methods, isa2, Biobase, AnnotationDbi, Category, genefilter, DBI
Imports
Suggests	igraph (>= 0.5.5), 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	1.6.0
Since	Bioconductor 2.6 (R-2.11)

Package Downloads

Package Source	eisa_1.6.0.tar.gz
Windows Binary	eisa_1.6.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	eisa_1.6.0.tgz
Package Downloads Report	Download Stats

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