Jeremie Zumer’s abstract: Pepid: a Highly Modifiable, ML-Friendly Peptide-Centric Search Engine, introducing the Lemieux Lab’s Pepid search engine, has been accepted for a poster presentation at the Machine Learning and Computational Biology conference (MLCB 2022). The poster can be downloaded by following this link (1.3MB).
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).
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.
A new poster by Leonard Sauve has been accepted for presentation at the 26th annual international conference on research in computational molecular biology, aka RECOMB 2022. The presentation, titled “Impact of Dimensionality REduction Parameters for Cox Proportional-Hazards Applied to Cancer Gene Expression”, will be made available at a later time. The poster acceptation notice may be viewed on the RECOMB 2022 website under Program > Accepted Posters. The RECOMB 2022 conference begins May 22 and ends May 25 in La Jolla, California, USA. The poster can be viewed or downloaded by following this link (318KB).
Congratulations to Assya Trofimov for winning the Mahan post-doc fellowship. The contest for this prestigious fellowship is held annually by the Fred Hutchison Cancer Research Center in Seattle to reward exceptional candidates by offering financial support for 21 months for computatinoal biology research projects.