: 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
In the context of biology and machine learning, a "perturbation" typically refers to an experimental intervention—such as a genetic knockout or chemical treatment—that alters a cell's state to study its response. : A causally inspired graph neural network that
Several recent papers and frameworks focus on predicting these responses using machine learning: Key Research Papers (2024–2026) perturbation