THEA

Last updated on Dec 16, 2020
THEATools for High-throughput Experiments Analysis
Release date2004
ImplementationJava
AuthorsPasquier, C. and Jevardat de Fombelle, K.

THEA (Tools for High-throughput Experiments Analysis) 1 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).

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

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