CellFlow as a training framework vs pretrained model

I’m looking for a pretrained model that I can use to generate the perturbed cell state in response to genetic/chemical perturbations, and I came across CellFlow.

I just wanted to confirm whether CellFlow is i) a training framework that I need to use to train models using my dataset(s), or ii) something that offers pretrained models that I can either use directly (zero-shot) or after minimal fine-tuning for predictions on my datasets. Based on my understanding, it is the former, but I’d appreciate it if you could confirm.

Hi,

As of now, CellFlow is meant to be retrained for every dataset, but obviously you can also pretrain on more data, and then fine-tune on the dataset of interest.