eisa
This package is for version 3.12 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: 3.12
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 "4.0") 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
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("eisa")| The Iterative Signature Algorithm for Gene Expression Data | R Script | |
| Reference Manual | 
Details
| biocViews | Classification, GeneExpression, Microarray, Software, Visualization | 
| Version | 1.42.0 | 
| 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 | eisa_1.42.0.tar.gz | 
| Windows Binary | eisa_1.42.0.zip | 
| macOS 10.13 (High Sierra) | eisa_1.42.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/eisa | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/eisa | 
| Bioc Package Browser | https://code.bioconductor.org/browse/eisa/ | 
| Package Short Url | https://bioconductor.org/packages/eisa/ | 
| Package Downloads Report | Download Stats | 
| Old Source Packages for BioC 3.12 | Source Archive |