: A machine learning architecture designed to predict cellular responses to perturbations across diverse biological contexts.
: A neural network framework that predicts transcriptional responses to both single- and two-gene perturbations. perturbation
: A causally inspired graph neural network that identifies which combinations of perturbations are needed to reverse a disease phenotype. Software & Frameworks : A machine learning architecture designed to predict
: A meta-learning framework that translates existing perturbation atlases to predict responses in new biological contexts using only a few "seed" perturbations. perturbation