THEA

Last updated on Jun 8, 2023
THEATools for High-throughput Experiments Analysis
Release date2004
ImplementationJava
AuthorsPasquier, C. and Jevardat de Fombelle, K.

THEA (Tools for High-throughput Experiments Analysis) 1 2 is an integrated information processing system allowing convenient handling of data. It allows to automatically annotate data issued from classification systems with selected biological information coming from a knowledge base and to either manually search and browse through these annotations or automatically generate meaningful generalizations according to statistical criteria (data mining).

  1. Claude Pasquier, Fabrice Girardot, Karim Jevardat de Fombelle, Richard Christen (2004). THEA: Ontology-Driven Analysis of Microarray Data.. Bioinformatics (Oxford, England).

    PDF DOI Supplemental Data Article Link Journal Site

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  2. Claude Pasquier, Richard Christen (2004). Analysis of Microarray Data with THEA. Lyon’s International Multidisciplinary Meeting on Post-Genomics: Integrative Post-Genomics (IPG'04).

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Computational Biology Gene Expression Analysis
Claude Pasquier
Claude Pasquier
Researcher in Computer Science / Computational Biology

Université côte d’Azur, CNRS, I3S Laboratory, Sophia Antipolis