THEA

THEA Tools for High-throughput Experiments Analysis
Release date 2004
Implementation Java
Authors Pasquier, C. and Jevardat de Fombelle, K.

THEA (Tools for High-throughput Experiments Analysis) (Pasquier et al. 2004) 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).

Pasquier, C., Girardot, F., Jevardat de Fombelle, K., and Christen, R. (2004), “THEA: ontology-driven analysis of microarray data.” Bioinformatics (Oxford, England), Oxford Academic, 20, 2636–43. https://doi.org/10.1093/bioinformatics/bth295.

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Claude Pasquier
Researcher in Computer Science / Computational Biology

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

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