Perturbation May 2026

: A meta-learning framework that translates existing perturbation atlases to predict responses in new biological contexts using only a few "seed" perturbations.

: A causally inspired graph neural network that identifies which combinations of perturbations are needed to reverse a disease phenotype. Software & Frameworks perturbation

: A machine learning architecture designed to predict cellular responses to perturbations across diverse biological contexts. perturbation

Several recent papers and frameworks focus on predicting these responses using machine learning: Key Research Papers (2024–2026) perturbation