HAL : hal-00397979, version 1

DOI : 10.1109/ISABEL.2008.4712599

Fiche détaillée

Récupérer au format BibTeX - EndNote - TEI - RefWorks -

First international symposium in Applied sciences on biomedical and communication technologies., Aalborg : Danemark (2008)

Fuzzy and quantum methods of information retrieval to analyse genomic data from patients at different stages of fibrosis

Thomas Sierocinski 1, Nathalie Théret 2, Dimitri Petritis 1

(25/10/2008)

We have recently introduced a novel method of unsupervised clustering, we termed semantic distillation, inspired from the quantum theory of measurement, allowing to analyse statistical data and regroup objects according to their contextual specificity. Here we introduce an improvement of the method to make it applicable even in the more difficult case where data have very small statistical variability from sample to sample. We applied our method to a dataset from DNA arrays of different anatomopathological samples concerning 14 patients suffering from fibrosis. The clusters produced by our method have been automatically indexed by the evolutionary stage of the disease and the genes regrouped therein identified as responsible of biological processes specific for every stage.

1 :	Institut de Recherche Mathématique de Rennes (IRMAR)
	CNRS : UMR6625 – Université de Rennes 1 – École normale supérieure de Cachan - ENS Cachan – INSA Rennes – Université Rennes II
2 :	Détoxication et réparation tissulaire
	INSERM : U620 – Université de Rennes 1 – IFR140

Équipe de recherche : Théorie ergodique

Domaine

:

Mathématiques/Probabilités

Mots Clés : quantum information retrieval – semantic distillation – DNA microarray – quantum and fuzzy logic

hal-00397979, version 1

http://hal.archives-ouvertes.fr/hal-00397979

oai:hal.archives-ouvertes.fr:hal-00397979

Contributeur : Dimitri Petritis <>

Soumis le : Mardi 23 Juin 2009, 18:30:41

Dernière modification le : Mardi 23 Mars 2010, 17:14:17