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.

This package is for version 3.13 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see eisa.

Expression data analysis via the Iterative Signature Algorithm

Bioconductor version: 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>

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/
Package Downloads Report	Download Stats