Français Anglais
Accueil Annuaire Plan du site
Accueil > Evenements > Séminaires
Deep learning for phenotype prediction based on gene expression data
Blaize Hanczar

28 March 2019, 14h30
Salle/Bat : 465/PCRI-N
Contact :

Activités de recherche :

Résumé :
Today, an increasing effort is put in the field of Precision Medicine to better characterize patients using high resolution technologies (also known as omics) designed to profile different facets of human biology (i.e. genomics, transcriptomics, metabolomics,…). Our contribution is about the prediction of phenotype based on gene expression data with a deep neural network. We focus on two issues: the learning with a small training set and the interpretation of the network. For the small training set problem, we propose methods based on transfer learning and semi-supervised learning. For interpretation, we backpropagate the predictions through the network in order to identify relevant genes and neurons that we associate them to biological knowledge.

Pour en savoir plus :
Séminaires
Refining Transitive and Pseudo-Transitive Relation
Gestion de données du Web
Monday 24 January 2022 - 13h00
Salle : 455 - PCRI-N
Shuai Wang .............................................

Discovering Causal Rules in Knowledge Graphs using
Intégration de données et de connaissances
Monday 10 January 2022 - 15h00
Salle : 455 - PCRI-N
Lucas Simonne .............................................

Meta-Learning for Few-Shot Link Prediction in Know
Intégration de données et de connaissances
Monday 13 December 2021 - 13h00
Salle : 455 - PCRI-N
Taha Halal .............................................

Knowledge Graph Refinement based on Triplet BERT-N
Gestion de données du Web
Monday 29 November 2021 - 13h00
Salle : 455 - PCRI-N
Armita Khajeh Nassiri .............................................

A Hyper-graph Approach for Computing EL+-Ontology
Raisonnement automatique
Monday 15 November 2021 - 13h00
Salle : 445 - PCRI-N
Hui Yang .............................................