| Single-cell biological network inference using a heterogeneous graph transformer A Ma, X Wang, J Li, C Wang, T Xiao, Y Liu, H Cheng, J Wang, Y Li, ... Nature Communications 14 (1), 964, 2023 | 106* | 2023 |
| PepFormer: End-to-End transformer-based siamese network to predict and enhance peptide detectability based on sequence only H Cheng, B Rao, L Liu, L Cui, G Xiao, R Su, L Wei Analytical Chemistry 93 (16), 6481-6490, 2021 | 47 | 2021 |
| scGNN 2.0: a graph neural network tool for imputation and clustering of single-cell RNA-Seq data H Gu, H Cheng, A Ma, Y Li, J Wang, D Xu, Q Ma Bioinformatics 38 (23), 5322-5325, 2022 | 22 | 2022 |
| Harnessing the deep learning power of foundation models in single-cell omics Q Ma, Y Jiang, H Cheng, D Xu Nature Reviews Molecular Cell Biology 25 (8), 593-594, 2024 | 10 | 2024 |
| Exploring the Mosaic-like Tissue Architecture of Kidney Diseases Using Relation Equivariant Graph Neural Networks on Spatially Resolved Transcriptomics M Raina, H Cheng, HNSK Suryadevara, T Stransfield, D Xu, Q Ma, ... bioRxiv, 2023.11. 09.566479, 2023 | | 2023 |
