Bioconductor version: Release (3.11)
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")
):
To install this package, start R (version "4.0") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("eisa")
R Script | The Iterative Signature Algorithm for Gene Expression Data | |
Reference Manual |
biocViews | Classification, GeneExpression, Microarray, Software, Visualization |
Version | 1.40.0 |
In Bioconductor since | BioC 2.6 (R-2.11) (10.5 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 |
Follow Installation instructions to use this package in your R session.
Source Package | eisa_1.40.0.tar.gz |
Windows Binary | eisa_1.40.0.zip |
macOS 10.13 (High Sierra) | eisa_1.40.0.tgz |
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 3.11 | Source Archive |
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