Fabian Theis said his lab began machine-learning-based perturbation-prediction modeling in 2019 with a paper called SEGen.

“Like my, my lab, we started this perturbation prediction modeling and, and using machine learning in twenty nineteen with a paper we called SEGen at the time, which was like it was a nonlinear model, but essentially sort of in the latent space, did some linear transformation, and it was actually quite okay.”