Author
University of Science and Technology of ChinaORCID 0009-0009-6440-3080Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
Recent·Most cited
Y Li, Qian Kong, Zihan Wu…·Jianhua Yao
Spatial-DC improves spatial proteomics deconvolution by using deep learning to infer cell-type composition and reconstruct proteomic profiles from low-resolution data.
Yunjie Gu, Zihan Wu, Rui Yan…·Jianhua Yao
H2O predicts spatial transcriptomics and proteomics from H&E images using a contrastive learning framework, outperforming existing models and recovering biologically relevant cell-cell communication.
Heqin Zhu, Ruifeng Li, Feng Zhang…·S Kevin Zhou
This paper introduces structRFM, a structure-guided RNA foundation model that improves RNA function prediction and structural inference through pre-training on sequence-structure pairs.