Sep 2026
scGFormer: A Multi-Scale Graph-Transformer for Cell Type Annotation in Single-Cell RNA Sequencing
ScGFormer is equipped with a biology-guided adaptive contrastive learning strategy, which is designed to account for zero inflation, balance class distributions, and refine dynamic graphs during training, thereby facilitating robustness and adaptability.
Zi-Qi Yuan, Hong-Wei Zhang, Cheng Liu et al.
· IEEE Transactions on Computa... · 0 citations