Expression data analysis via the Iterative Signature Algorithm
Description
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.