: 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 cellular responses to perturbations across diverse biological contexts. perturbation
: A model that extends perturbation studies from static snapshots to dynamic cellular trajectories, allowing for the simulation of disease progression or development. : A causally inspired graph neural network that