eisa: Expression data analysis via the Iterative Signature Algorithm
Version 1.28.0

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.

Package details

AuthorGabor Csardi <csardi.gabor@gmail.com>
Bioconductor views Classification GeneExpression Microarray Visualization
MaintainerGabor Csardi <csardi.gabor@gmail.com>
LicenseGPL (>= 2)
Version1.28.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("eisa")

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eisa documentation built on May 31, 2017, 2:25 p.m.