学术成果 (论文、专利、软著等) |
1.Yi-Heng Zhu, Chengxin Zhang, Dong-Jun Yu, Yang Zhang. Integrating Unsupervised Language Model with Triplet Neural Networks for Protein Gene Ontology Prediction. PLOS Computational Biology. 2022. 2.Yi-Heng Zhu, Chengxin Zhang, Yan Liu, Gilbert Omenn, Peter Freddolino, Dong-Jun Yu, Yang Zhang. Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction. Genomics, Proteomics & Bioinformatics. 2022. 3.Yi-Heng Zhu, Jun Hu, Fang Ge, Fuyi Li, Jiangning Song, Yang Zhang, Dong-Jun Yu. Accurate Multi-Stage Prediction of Protein Crystallization Propensity Using Deep-Cascade Forest with Sequence-Based Features. Briefings in Bioinformatics. 2020. 4.Yi-Heng Zhu, Jun Hu, Xiao-Ning Song, Dong-Jun Yu. DNAPred: Accurate Identification of DNA-binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines. Journal of Chemical Information and Modeling. 2019. 5.Yi-Heng Zhu, Jun Hu, Yong Qi, Xiao-Ning Song, Dong-Jun Yu. Boosting Granular Support Vector Machines for the Accurate Prediction of Protein-Nucleotide Binding Sites. Combinatorial Chemistry & High Throughput Screening. 2019. 6.Yi-Heng Zhu, Chengxin Zhang, Rucheng Diao, Xiaogen Zhou, Peter Freddolino, Dong-Jun Yu, Yang Zhang. MetaGOPlus: Improving Gene Ontology Prediction of Proteins Using Deep Residual Network with Hierarchical Classification. The 28th Conference on Intelligent Systems for Molecular Biology (ISMB 2020，Poster). 7. Peng-Hao Wang#,Yi-Heng Zhu#, Xibei Yang, Dong-Jun Yu. GCmapCrys: Integrating graph attention network with predicted contact map for multi-stage protein crystallization propensity prediction. Analytical Biochemistry. 2023. 8. Zi Liu#,Yi-Heng Zhu#, Long-Chen Shen, Xuan Xiao, Wang-Ren Qiu, Dong-Jun Yu. Integrating Unsupervised Language Model with Multi-View Multiple Sequence Alignments for High-Accuracy Inter-Chain Contact Prediction. Computers in Biology and Medicine. (Under Review) 9.Yi-Heng Zhu, Zi Liu, Zhiwei Ji, Dong-Jun Yu. ULDNA: Integrating Unsupervised Multi-Source Language Models with LSTM-Attention Network for High-Accuracy Protein-DNA Binding Site Prediction. Briefings in Bioinformatics. (Under Review) |
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