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cs.LG2025
PepCompass: Navigating peptide embedding spaces using Riemannian Geometry
Marcin Możejko, Adam Bielecki, Jurand Prądzyński +10
Antimicrobial peptide discovery is challenged by the astronomical size of peptide space and the relative scarcity of active peptides. Generative models provide continuous latent "m…
cs.LG2022
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction
Krzysztof Koras, Marcin Możejko, Paulina Szymczak +2
Recent emergence of high-throughput drug screening assays sparkled an intensive development of machine learning methods, including models for prediction of sensitivity of cancer ce…