Search Results for author: Maxime Langevin

Found 3 papers, 2 papers with code

Scaffold-constrained molecular generation

no code implementations15 Sep 2020 Maxime Langevin, Herve Minoux, Maximilien Levesque, Marc Bianciotto

Without enforcing such constraints, the probability of generating molecules with the required scaffold is extremely low and hinders the practicality of generative models for de-novo drug design.

Drug Discovery

A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements

3 code implementations6 May 2019 Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael. I. Jordan, Nir Yosef

Building upon domain adaptation work, we propose gimVI, a deep generative model for the integration of spatial transcriptomic data and scRNA-seq data that can be used to impute missing genes.

Domain Adaptation Imputation

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