Bioinformatics & Cancer Research
Our lab is affiliated to the Institute for Research in Immunology and Cancer (IRIC) at the Université de Montréal (UdeM). Our multidisciplinary team develops bioinformatics tools and analysis pipelines, and leverages machine learning and other computational approaches to analyze omics data such as transcriptomic, chemogenomic, and proteomic data. Through fundamental, translational and clinical research, we help improve cancer treatment.
Leonard Sauve presents his visualization method for transcriptomic data in accute myeloid leukemias (AML) using the Factorized Embedding model at ReseauxLAB 2022. The Factorized Embedding model was first developed by Assya Trofimov during her doctoral studies in the Lemieux lab. The poster can be viewed or downloaded by following this link (2.08MB).
Assya Trofimov’s paper: Two types of human TCR differentially regulate reactivity to self and non-self antigens, has been published in the journal Cell. The paper can be read online at the following link and is available in open access.
Ningrui Xie and Nhi Nguyen presented their work at the 4th IRIC Summer Interns' Day. Nhi Nguyen won one of two Best Poster Presentation awards while Ningrui Xie’s work was selected for an oral presentation.
Caroline Labelle’s presentation: Bayesian Inference as a Robust Alternative to Non-Linear Regression for Dose-Response Parameters Assessment, has been accepted at the 2022 edition of the International Conference on Intelligent Systems for Molecular Biology (ISMB). The poster abstract can be found online.
The Lemieux lab is proud to announce that Tom MacDougall has made the Rector’s honor List for his excellent scholarship and master’s thesis, alongside 4 other new IRIC graduates. Click here to see the IRIC announcement.