| HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes Y Li, Z Xu, W Han, H Cao, R Umarov, A Yan, M Fan, H Chen, CM Duarte, ... Microbiome 9, 1-12, 2021 | 71 | 2021 |
| 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 | 47 | 2022 |
| Applications of deep learning in understanding gene regulation Z Li, E Gao, J Zhou, W Han, X Xu, X Gao Cell Reports Methods 3 (1), 2023 | 34 | 2023 |
| Predicting the antigenic evolution of SARS-COV-2 with deep learning W Han, N Chen, X Xu, A Sahil, J Zhou, Z Li, H Zhong, E Gao, R Zhang, ... Nature Communications 14 (1), 3478, 2023 | 23 | 2023 |
| Recessive, deleterious variants in SMG8 expand the role of nonsense-mediated decay in developmental disorders in humans F Alzahrani, H Kuwahara, Y Long, M Al-Owain, M Tohary, M AlSayed, ... The American Journal of Human Genetics 107 (6), 1178-1185, 2020 | 23 | 2020 |
| PPML-Omics: a privacy-preserving federated machine learning method protects patients’ privacy in omic data J Zhou, S Chen, Y Wu, H Li, B Zhang, L Zhou, Y Hu, Z Xiang, Z Li, N Chen, ... Science Advances 10 (5), eadh8601, 2024 | 18 | 2024 |
| Personalized and privacy-preserving federated heterogeneous medical image analysis with pppml-hmi J Zhou, L Zhou, D Wang, X Xu, H Li, Y Chu, W Han, X Gao Computers in Biology and Medicine 169, 107861, 2024 | 13 | 2024 |
| Annotating TSSs in multiple cell types based on DNA sequence and RNA-seq data via DeeReCT-TSS J Zhou, B Zhang, H Li, L Zhou, Z Li, Y Long, W Han, M Wang, H Cui, J Li, ... Genomics, Proteomics and Bioinformatics 20 (5), 959-973, 2022 | 9* | 2022 |
| HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes. Microbiome. 9: 1–2 Y Li, Z Xu, W Han, H Cao, R Umarov, A Yan, M Fan, H Chen, CM Duarte, ... | 7 | 2021 |
| DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction Y Ren, Y Wang, W Han, Y Huang, X Hou, C Zhang, D Bu, X Gao, S Sun Big Data Mining and Analytics 7 (3), 577-589, 2024 | | 2024 |
| SANTO: a coarse-to-fine alignment and stitching method for spatial omics H Li, Y Lin, W He, W Han, X Xu, C Xu, E Gao, H Zhao, X Gao Nature Communications 15 (1), 6048, 2024 | | 2024 |
| ml4bio/CLEAR: CLEAR: 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, ... Github, 2021 | | 2021 |
| JoshuaChou2018/DeeReCT-TSS_release: This repository contains the implementation of DeeReCT-TSS J Zhou, H Li, L Zhou, Z Li, Y Long, W Han, M Wang, H Cui, W Chen, ... Github, 2021 | | 2021 |
| Benchmarking probabilistic machine learning in protein fitness landscape predictions N Chen, W Han, ST Reddy ICML'24 Workshop ML for Life and Material Science: From Theory to Industry …, 0 | | |
Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research CenterVerified email at kaust.edu.sa
