To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("eisa")

In most cases, you don't need to download the package archive at all.

eisa

   

This package is for version 2.10 of Bioconductor; for the stable, up-to-date release version, see eisa.

Expression data analysis via the Iterative Signature Algorithm

Bioconductor version: 2.10

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>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("eisa")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("eisa")

 

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

Details

biocViews Classification, GeneExpression, Microarray, Software, Visualization
Version 1.8.2
In Bioconductor since BioC 2.6 (R-2.11) (6 years)
License GPL (>= 2)
Depends methods, isa2, Biobase, AnnotationDbi, Category, genefilter, DBI
Imports
LinkingTo
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
SystemRequirements
Enhances
URL
Depends On Me
Imports Me ExpressionView
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source eisa_1.8.2.tar.gz
Windows Binary eisa_1.8.2.zip
Mac OS X 10.6 (Snow Leopard)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/eisa/tree/release-2.10
Package Short Url http://bioconductor.org/packages/eisa/
Package Downloads Report Download Stats

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