| Protein–RNA interaction prediction with deep learning: structure matters J Wei, S Chen, L Zong, X Gao, Y Li Briefings in bioinformatics 23 (1), bbab540, 2022 | 39 | 2022 |
| A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics H Li, J Zhou, Z Li, S Chen, X Liao, B Zhang, R Zhang, Y Wang, S Sun, ... Nature Communications 14 (1), 1548, 2023 | 21 | 2023 |
| Self-supervised contrastive learning for integrative single cell RNA-seq data analysis W Han, Y Cheng, J Chen, H Zhong, Z Hu, S Chen, L Zong, L Hong, ... Briefings in Bioinformatics 23 (5), bbac377, 2022 | 21 | 2022 |
| Lunar features detection for energy discovery via deep learning S Chen, Y Li, T Zhang, X Zhu, S Sun, X Gao Applied Energy 296, 117085, 2021 | 11 | 2021 |
| Deep learning identifies and quantifies recombination hotspot determinants Y Li, S Chen, T Rapakoulia, H Kuwahara, KY Yip, X Gao Bioinformatics 38 (10), 2683-2691, 2022 | 5 | 2022 |
| The highly conserved RNA-binding specificity of nucleocapsid protein facilitates the identification of drugs with broad anti-coronavirus activity S Fan, W Sun, L Fan, N Wu, W Sun, H Ma, S Chen, Z Li, Y Li, J Zhang, ... Computational and Structural Biotechnology Journal 20, 5040-5044, 2022 | 1 | 2022 |
