Haicang Zhang

发表

Dissecting Autism Genetic Risk Using Single-cell RNA-seq Data

Yufeng Shen, Xueya Zhou, Siying Chen, 2020, bioRxiv.

Exome sequencing of 457 autism families recruited online provides evidence for novel ASD genes

Richard A Marini, Simon X. Xu, Nicole M. Russo-Ponsaran, 2019 .

Improving protein threading accuracy via combining local and global potential using TreeCRF model

Chao Wang, Dongbo Bu, Mingfu Shao, 2015 .

Improving residue-residue contact prediction via low-rank and sparse decomposition of residue correlation matrix.

Shuai Cheng Li, Dongbo Bu, Minghua Deng, 2016, Biochemical and biophysical research communications.

Insights into the transmission of respiratory infectious diseases through empirical human contact networks

Shuai Cheng Li, Dongbo Bu, Yang Zhou, 2016, Scientific Reports.

Bi-clustering interpretation and prediction of correlation between gene expression and protein abundance

D. Bu, Xinqi Gong, Xiaoquan Su, 2018, bioRxiv.

MVP: predicting pathogenicity of missense variants by deep learning

W. Chung, Yufeng Shen, Yongtao Guan, 2018, bioRxiv.

Optimizing weights of protein energy function to improve ab initio protein structure prediction

Chao Ching Wang, D. Bu, Weinan Zheng, 2013, 1312.6960.

Psychiatric and Medical Profiles of Autistic Adults in the SPARK Cohort

Richard A Marini, Simon X. Xu, Nicole M. Russo-Ponsaran, 2020, Journal of Autism and Developmental Disorders.

Study on Medium-Thick Al-Alloy T-Joints by Dual P-GMAW Bilateral Synchronous Welding

Haicang Zhang, Shujun Chen, Yun Zhao, 2021, Metals.

Integrating de novo and inherited variants in over 42,607 autism cases identifies mutations in new moderate risk genes

William T. Harvey, Richard A Marini, Simon X. Xu, 2021, medRxiv.

Predicting functional effect of missense variants using graph attention neural networks

W. Chung, Yufeng Shen, Haicang Zhang, 2021, bioRxiv.

Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes

Richard A Marini, Simon X. Xu, Nicole M. Russo-Ponsaran, 2019, npj Genomic Medicine.

Template-based prediction of protein structure with deep learning

Yufeng Shen, Haicang Zhang, Yufeng Shen, 2020, BMC Genomics.

MVP predicts the pathogenicity of missense variants by deep learning

W. Chung, Yufeng Shen, Yongtao Guan, 2021, Nature Communications.

FALCON2: a web server for high-quality prediction of protein tertiary structures

Dongbo Bu, Shiwei Sun, Fusong Ju, 2021, BMC Bioinformatics.

Molten Pool Behaviors in Double-Sided Pulsed GMAW of T-Joint: A Numerical Study

Sanbao Lin, Haicang Zhang, Chunsheng Wang, 2021, Metals.

Accurate and efficient protein sequence design through learning concise local environment of residues

D. Bu, Shiwei Sun, Weinan Zheng, 2022, bioRxiv.

Protein Structure Prediction: Challenges, Advances, and the Shift of Research Paradigms

D. Bu, Weinan Zheng, Haicang Zhang, 2023, Genomics, proteomics & bioinformatics.

Beliefs in vaccine as causes of autism among SPARK cohort caregivers.

Richard A Marini, Simon X. Xu, Jacob B. Hall, 2020, Vaccine.

Improving prediction of burial state of residues by exploiting correlation among residues

D. Bu, Shiwei Sun, Weinan Zheng, 2017, BMC Bioinformatics.

Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes

Richard A Marini, Simon X. Xu, Deana D. Li, 2019, npj Genomic Medicine.

Improving protein fold recognition by extracting fold-specific features from predicted residue–residue contacts

Chao Wang, Shuai Cheng Li, Dongbo Bu, 2017, Bioinform..

Predicting protein inter-residue contacts using composite likelihood maximization and deep learning

Qi Zhang, Dongbo Bu, Jianwei Zhu, 2018, BMC Bioinformatics.

FALCON@home: a high-throughput protein structure prediction server based on remote homologue recognition

Dong Xu, D. Bu, Shiwei Sun, 2016, Bioinform..

Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo sampling

Chao Wang, Yi Wei, Dongbo Bu, 2019, BMC Bioinformatics.

Discovering and Validating Neoantigens by Mass Spectrometry-based Immunopeptidomics and Deep Learning

Ngoc Hieu Tran, L. Xin, B. Shan, 2024, bioRxiv.

Improving prediction of burial state of residues by exploiting correlation among residues

Chao Wang, Dongbo Bu, Jianwei Zhu, 2017, BMC Bioinformatics.