GeneCluster 2.0: an advanced toolset for bioarray analysis.

Bioinformatics
Authors
Keywords
Abstract

SUMMARY: GeneCluster 2.0 is a software package for analyzing gene expression and other bioarray data, giving users a variety of methods to build and evaluate class predictors, visualize marker lists, cluster data and validate results. GeneCluster 2.0 greatly expands the data analysis capabilities of GeneCluster 1.0 by adding classification, class discovery and permutation test methods. It includes algorithms for building and testing supervised models using weighted voting and k-nearest neighbor algorithms, a module for systematically finding and evaluating clustering via self-organizing maps, and modules for marker gene selection and heat map visualization that allow users to view and sort samples and genes by many criteria. GeneCluster 2.0 is a stand-alone Java application and runs on any platform that supports the Java Runtime Environment version 1.3.1 or greater.

AVAILABILITY: http://www.broad.mit.edu/cancer/software

Year of Publication
2004
Journal
Bioinformatics
Volume
20
Issue
11
Pages
1797-8
Date Published
2004 Jul 22
ISSN
1367-4803
URL
DOI
10.1093/bioinformatics/bth138
PubMed ID
14988123
Links