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Haicang Zhang

Showing results (1-10 of 16) with videos related to

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BMC Genomics|December 29, 2020
Template-based prediction of protein structure with deep learningHaicang Zhang, Yufeng Shen
Plos One|April 12, 2022
Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention networkBei Bi, Yaojun Wang, Haicang Zhang, et al.
BMC Bioinformatics|September 16, 2021
FALCON2: a web server for high-quality prediction of protein tertiary structuresLupeng Kong, Fusong Ju, Haicang Zhang, et al.
Nature Machine Intelligence|July 24, 2023
Predicting functional effect of missense variants using graph attention neural networksHaicang Zhang, Michelle S Xu, Xiao Fan, et al.
BMC Bioinformatics|March 31, 2019
Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo samplingChao Wang, Yi Wei, Haicang Zhang, et al.
BMC Bioinformatics|April 1, 2017
Improving prediction of burial state of residues by exploiting correlation among residuesHai'e Gong, Haicang Zhang, Jianwei Zhu, et al.
Nature Communications|January 22, 2021
MVP predicts the pathogenicity of missense variants by deep learningHongjian Qi, Haicang Zhang, Yige Zhao, et al.
BMC Bioinformatics|November 4, 2024
GPCR-BSD: a database of binding sites of human G-protein coupled receptors under diverse statesFan Liu, Han Zhou, Xiaonong Li, et al.
Bioinformatics (Oxford, England)|September 30, 2017
Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contactsJianwei Zhu, Haicang Zhang, Shuai Cheng Li, et al.
Biochemical and Biophysical Research Communications|February 28, 2016
Improving residue-residue contact prediction via low-rank and sparse decomposition of residue correlation matrixHaicang Zhang, Yujuan Gao, Minghua Deng, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
BMC Genomics|December 29, 2020
Template-based prediction of protein structure with deep learningHaicang Zhang, Yufeng Shen
Plos One|April 12, 2022
Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention networkBei Bi, Yaojun Wang, Haicang Zhang, et al.
BMC Bioinformatics|September 16, 2021
FALCON2: a web server for high-quality prediction of protein tertiary structuresLupeng Kong, Fusong Ju, Haicang Zhang, et al.
Nature Machine Intelligence|July 24, 2023
Predicting functional effect of missense variants using graph attention neural networksHaicang Zhang, Michelle S Xu, Xiao Fan, et al.
BMC Bioinformatics|March 31, 2019
Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo samplingChao Wang, Yi Wei, Haicang Zhang, et al.
BMC Bioinformatics|April 1, 2017
Improving prediction of burial state of residues by exploiting correlation among residuesHai'e Gong, Haicang Zhang, Jianwei Zhu, et al.
Nature Communications|January 22, 2021
MVP predicts the pathogenicity of missense variants by deep learningHongjian Qi, Haicang Zhang, Yige Zhao, et al.
BMC Bioinformatics|November 4, 2024
GPCR-BSD: a database of binding sites of human G-protein coupled receptors under diverse statesFan Liu, Han Zhou, Xiaonong Li, et al.
Bioinformatics (Oxford, England)|September 30, 2017
Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contactsJianwei Zhu, Haicang Zhang, Shuai Cheng Li, et al.
Biochemical and Biophysical Research Communications|February 28, 2016
Improving residue-residue contact prediction via low-rank and sparse decomposition of residue correlation matrixHaicang Zhang, Yujuan Gao, Minghua Deng, et al.
Pageof 2