Bioconductor-mirror/eisa: Expression data analysis via the Iterative Signature Algorithm

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.

Getting started

Package details

AuthorGabor Csardi <[email protected]>
Bioconductor views Classification GeneExpression Microarray Visualization
MaintainerGabor Csardi <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
Bioconductor-mirror/eisa documentation built on June 1, 2017, 7:40 a.m.