Several recent papers and frameworks focus on predicting these responses using machine learning: Key Research Papers (2024–2026)
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. perturbation
: A machine learning architecture designed to predict cellular responses to perturbations across diverse biological contexts. Several recent papers and frameworks focus on predicting
: A causally inspired graph neural network that identifies which combinations of perturbations are needed to reverse a disease phenotype. Software & Frameworks Software & Frameworks : A meta-learning framework that
: A meta-learning framework that translates existing perturbation atlases to predict responses in new biological contexts using only a few "seed" perturbations.
: A neural network framework that predicts transcriptional responses to both single- and two-gene perturbations.
