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>
citation("eisa")
):
Installation
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("eisa")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | Classification, GeneExpression, Microarray, Software, Visualization |
Version | 1.44.0 |
In Bioconductor since | BioC 2.6 (R-2.11) (14 years) |
License | GPL (>= 2) |
Depends | isa2, Biobase(>= 2.17.8), AnnotationDbi, methods |
Imports | BiocGenerics, Category, genefilter, DBI |
System Requirements | |
URL |
See More
Suggests | igraph (>= 0.6), Matrix, GOstats, GO.db, KEGG.db, biclust, MASS, xtable, ALL, hgu95av2.db, targetscan.Hs.eg.db, org.Hs.eg.db |
Linking To | |
Enhances | |
Depends On Me | ExpressionView |
Imports Me | ExpressionView |
Suggests Me | |
Links To Me | |
Build Report | 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 |
Old Source Packages for BioC 3.13 | Source Archive |