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Haicang Zhang
Haicang Zhang
Verified email at cumc.columbia.edu
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Year
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
1892019
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
1282022
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
472017
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
452016
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
302022
Template-based prediction of protein structure with deep learning
H Zhang, Y Shen
BMC genomics 21, 1-9, 2020
292020
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
272016
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
252016
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
222023
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
152019
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
122017
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
82023
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
62022
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
52014
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
42020
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
42018
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
42017
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
32017
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
22018
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