Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes P Feliciano, X Zhou, I Astrovskaya, TN Turner, T Wang, L Brueggeman, ... NPJ genomic medicine 4 (1), 19, 2019 | 189 | 2019 |
MVP predicts the pathogenicity of missense variants by deep learning H Qi, H Zhang, Y Zhao, C Chen, JJ Long, WK Chung, Y Guan, Y Shen Nature communications 12 (1), 510, 2021 | 133* | 2021 |
Integrating de novo and inherited variants in 42,607 autism cases identifies mutations in new moderate-risk genes X Zhou, P Feliciano, C Shu, T Wang, I Astrovskaya, JB Hall, JU Obiajulu, ... Nature genetics 54 (9), 1305-1319, 2022 | 128 | 2022 |
Improving protein fold recognition by extracting fold-specific features from predicted residue–residue contacts J Zhu, H Zhang, SC Li, C Wang, L Kong, S Sun, WM Zheng, D Bu Bioinformatics 33 (23), 3749-3757, 2017 | 47 | 2017 |
FALCON@ home: a high-throughput protein structure prediction server based on remote homologue recognition C Wang, H Zhang, WM Zheng, D Xu, J Zhu, B Wang, K Ning, S Sun, SC Li, ... Bioinformatics 32 (3), 462-464, 2016 | 45 | 2016 |
Predicting functional effect of missense variants using graph attention neural networks H Zhang, MS Xu, X Fan, WK Chung, Y Shen Nature Machine Intelligence 4 (11), 1017-1028, 2022 | 30 | 2022 |
Template-based prediction of protein structure with deep learning H Zhang, Y Shen BMC genomics 21, 1-9, 2020 | 29 | 2020 |
Insights into the transmission of respiratory infectious diseases through empirical human contact networks C Huang, X Liu, S Sun, SC Li, M Deng, G He, H Zhang, C Wang, Y Zhou, ... Scientific reports 6 (1), 31484, 2016 | 27 | 2016 |
Improving residue–residue contact prediction via low-rank and sparse decomposition of residue correlation matrix H Zhang, Y Gao, M Deng, C Wang, J Zhu, SC Li, WM Zheng, D Bu Biochemical and biophysical research communications 472 (1), 217-222, 2016 | 25 | 2016 |
Accurate and efficient protein sequence design through learning concise local environment of residues B Huang, T Fan, K Wang, H Zhang, C Yu, S Nie, Y Qi, WM Zheng, J Han, ... Bioinformatics 39 (3), btad122, 2023 | 22 | 2023 |
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning H Zhang, Q Zhang, F Ju, J Zhu, Y Gao, Z Xie, M Deng, S Sun, WM Zheng, ... BMC bioinformatics 20, 1-11, 2019 | 15 | 2019 |
Improving prediction of burial state of residues by exploiting correlation among residues H Gong, H Zhang, J Zhu, C Wang, S Sun, WM Zheng, D Bu BMC bioinformatics 18, 165-175, 2017 | 12 | 2017 |
Protein structure prediction: challenges, advances, and the shift of research paradigms B Huang, L Kong, C Wang, F Ju, Q Zhang, J Zhu, T Gong, H Zhang, C Yu, ... Genomics, Proteomics & Bioinformatics, 2023 | 8 | 2023 |
Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention network B Bi, Y Wang, H Zhang, Y Gao Plos one 17 (4), e0266598, 2022 | 6 | 2022 |
On the inapproximability of minimizing cascading failures under the deterministic threshold model L Nie, J Liu, H Zhang, Z Xu Information Processing Letters 114 (1-2), 1-4, 2014 | 5 | 2014 |
Dissecting autism genetic risk using single-cell RNA-seq data S Chen, X Zhou, E Byington, SL Bruce, H Zhang, Y Shen bioRxiv, 2020.06. 15.153031, 2020 | 4 | 2020 |
蛋白质三级结构预测算法综述 王超, 朱建伟, 张海仓, 巩海娥, 郑伟谋, 卜东波 计算机学报 41 (4), 760-779, 2018 | 4 | 2018 |
A survey on algorithms for protein contact prediction [J] H Zhang, Y Gao, M Deng, weimou Zheng, dongbo Bu J Comput Res Dev 54 (1), 1-19, 2017 | 4 | 2017 |
Lupeng Kong, Shiwei Sun, Wei-Mou Zheng, and Dongbo Bu. Improving protein fold recognition by extracting fold-specific features from predicted residue–residue contacts J Zhu, H Zhang, SC Li, C Wang Bioinformatics 33 (23), 3749-3757, 2017 | 3 | 2017 |
Bi-clustering interpretation and prediction of correlation between gene expression and protein abundance X Wang, L Teng, H Zhang, Q Zhou, X Su, X Cui, D Bu, X Gong, A Poetsch, ... bioRxiv, 270397, 2018 | 2 | 2018 |