Machine learning

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

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

Investigate the Role of Transcriptional Regulation in Breast Cancer Heterogeneity Using Single Cell RNA Sequencing (scRNA-seq) Data

Marjolaine David, co-supervision with Sylvie Mader

Jan 1, 2019 Maîtrise

Investigate the Role of Transcriptional Regulation in Breast Cancer Heterogeneity Using Single Cell RNA Sequencing (scRNA-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

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

Neural network development from pan-transcriptomic k-mer tables for RNA-Seq applications

Nicolas Jacquin

Jan 1, 0001 Maîtrise

Neural network development from pan-transcriptomic k-mer tables for RNA-Seq applications