eisa

DOI: 10.18129/B9.bioc.eisa    

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

Expression data analysis via the Iterative Signature Algorithm

Bioconductor version: Release (3.13)

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 (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("eisa")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

PDF   Reference Manual

Details

biocViews Classification, GeneExpression, Microarray, Software, Visualization
Version 1.44.0
In Bioconductor since BioC 2.6 (R-2.11) (11.5 years)
License GPL (>= 2)
Depends isa2, Biobase(>= 2.17.8), AnnotationDbi, methods
Imports BiocGenerics, Category, genefilter, DBI
LinkingTo
Suggests igraph (>= 0.6), 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 ExpressionView
Imports Me ExpressionView
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package
Windows Binary
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/eisa
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/eisa
Package Short Url https://bioconductor.org/packages/eisa/
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