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This package is for version 2.9 of Bioconductor;
for the stable, up-to-date release version, see
eisa.
Expression data analysis via the Iterative Signature Algorithm
Bioconductor version: 2.9
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 and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("eisa")
Documentation
To view documentation for the version of this package installed
in your system, start R and enter:
browseVignettes("eisa")
| EISA_biclust.pdf | ||
| EISA_tutorial.pdf | ||
| ISA_internals.pdf | ||
| tissues.pdf | ||
| Reference Manual |
Details
| biocViews | Classification, GeneExpression, Microarray, Software, Visualization |
| Version | 1.6.0 |
| In Bioconductor since | BioC 2.6 (R-2.11) (6 years) |
| License | GPL (>= 2) |
| Depends | methods, isa2, Biobase, AnnotationDbi, Category, genefilter, DBI |
| Imports | |
| LinkingTo | |
| Suggests | igraph (>= 0.5.5), Matrix, GOstats, GO.db, KEGG.db, biclust, MASS, xtable, ALL, hgu95av2.db |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | ExpressionView |
| Suggests Me | |
| Build Report |
Package Archives
Follow
Installation instructions to use this
package in your R session.
Read more here: Source link
