: 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 machine learning architecture designed to predict cellular responses to perturbations across diverse biological contexts. : A model that extends perturbation studies from