Fig. 1: GeneCompass architecture and pre-training corpus.

a The framework of GeneCompass. The model was pre-trained on large-scale single-cell transcriptomes of humans and mice and used for multiple downstream tasks, including cell-type annotation, perturbation prediction, dosage response prediction, GRN inference, and etc. b Embedding of four types of prior knowledge, including GRN, promoter sequence, gene family and co-expression. c Organ types of humans and mice in scCompass-126M. d Uniform Manifold Approximation and Projection of different cell types of a sampled subset from scCompass-126M.