Doctorat

Use of gene expression profiles for prediction of biological activity of compounds

Léa Kaufmann

Sep 1, 2023 Doctorat
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
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
Enhancing the Drug Discovery Process - Using Bayesian Inference for the Analysis of Dose-Response Experiments

Caroline Labelle, co-supervision with Anne Marinier

May 1, 2018 Doctorat
Enhancing the Drug Discovery Process - Using Bayesian Inference for the Analysis of Dose-Response Experiments
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
The Non-Canonical Proteome Uniquely Populates the Proteome or Immunopeptidome

Maria Virginia Ruiz Cuevas, co-supervision with Claude Perreault

Jan 1, 2018 Doctorat
The Non-Canonical Proteome Uniquely Populates the Proteome or Immunopeptidome