Deep learning

Using deep learning diffusion models for denoising of low-coverage RNA-seq data

Carl Munoz

Sep 1, 2022 Doctorat
Using deep learning diffusion models for denoising of low-coverage RNA-seq data
Pairwise Molecular Representation Learning for Improved and Explainable Property Prediction

Tom MacDougal, co-supervision with Anne Marinier

May 1, 2019 Maîtrise
Pairwise Molecular Representation Learning for Improved and Explainable Property Prediction
Development of Automatic Risk Evaluation Systems for Acute Myeloid Leukemia from Gene Expression Data

Léonard Sauvé

Sep 1, 2018 Doctorat
Development of Automatic Risk Evaluation Systems for Acute Myeloid Leukemia from Gene Expression Data
Improving Peptide-Centric Mass Spectrometry with Deep Learning

Jérémie Zumer

Sep 1, 2018 Doctorat
Improving Peptide-Centric Mass Spectrometry with Deep Learning
The Factorized Embeddings Model: Towards a Data-driven Cell Atlas

Assya Trofimov, co-supervision with Claude Perreault

May 1, 2018 Doctorat
The Factorized Embeddings Model: Towards a Data-driven Cell Atlas