Transcriptomics

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
Identification of chemotherapy-induced transposable elements in triple-negative breast cancers

Ann-Sophie Gironne, co-supervision with Geneviève Deblois

May 1, 2022 Master
Identification of chemotherapy-induced transposable elements in triple-negative breast cancers
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
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