Perturbation-aware representation learning for in vivo genetic screens

Florian Hugi, Tanmay Tanna, Randall J Platt, Gunnar Ratsch

Keywords: semi-supervised representation learning, perturbations, CRISPR, Perturb-seq, in vivo, single-cell RNA-seq

TL;DR: We introduce a biologically informed, semi-supervised approach for learning representations from heterogenous in vivo genetic perturbation datasets

Submission Number: 32