: A model that extends perturbation studies from static snapshots to dynamic cellular trajectories, allowing for the simulation of disease progression or development.
Several recent papers and frameworks focus on predicting these responses using machine learning: Key Research Papers (2024–2026) perturbation
: A meta-learning framework that translates existing perturbation atlases to predict responses in new biological contexts using only a few "seed" perturbations. : A model that extends perturbation studies from