Supplementary data for the chapter

Interpreting and comparing clustering experiments though graph visualization and ontology statistical enrichment with the ClutrFree package in Methods in Molecular Biology

Ghislain Bidaut (Updated the 15/05/09).
Integrative Bioinformatics - Centre de Recherche en Cancérologie de Marseille,
Institut National de la Santé et de la Recherche Médicale, INSERM UMR 891
27 Boulevard Leï Roure, 13009, Marseille, France

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Introduction

This is the supplementary material associated with the chapter 'Interpreting multiple microarray clustering experiments with the ClutrFree package'. You can find here all the necessaru data and tools to redo the experiments.

Programs and software

ClutrFree (binaries and source) is available here.
The MeV (The Multiple Experiment Viewer) is available here.
ASAP is available here.
R/Bioconductor are available here.
Pattools is avaiable from request by contacting the authors of this paper.

Datasets formatted for ClutrFree

Schmidt cancer microarray dataset (Analysis with TMEv implementation of K-means - from 3 to 20 patterns)
Phylogenomic profiles Dataset (Analysis with Bayesian Decomposition - Pattools implementation)
Rosetta Yeast Compendium Dataset (Analysis with Bayesian Decomposition - Pattools implementation)

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This page is copyrighted (c) Ghislain Bidaut 2009.