Yi-Heng Zhu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Multiple Sequence Alignments

Top Venues

Briefings Bioinform.

J. Chem. Inf. Model.

IEEE ACM Trans. Comput. Biol. Bioinform.

Comput. Biol. Medicine

Publications

Yi-Heng Zhu, Zi Liu, Yan 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 Bioinform. 25 (2) (2024)
Zi Liu, Yi-Heng Zhu, Long-Chen Shen, Xuan Xiao, Wangren Qiu, Dong-Jun Yu
Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction. Comput. Biol. Medicine 166 (2023)
Yi-Heng Zhu, Chengxin Zhang, Yan Liu, Gilbert S. Omenn, Peter L. Freddolino, Dong-Jun Yu, Yang Zhang
TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction. Genom. Proteom. Bioinform. 20 (5) (2022)
Ke Han, Long-Chen Shen, Yi-Heng Zhu, Jian Xu, Jiangning Song, Dong-Jun Yu
MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network. Briefings Bioinform. 23 (1) (2022)
Yi-Heng Zhu, Chengxin Zhang, Dong-Jun Yu, Yang Zhang
Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction. PLoS Comput. Biol. 18 (12) (2022)
Yi-Heng Zhu, Jun Hu, Fang Ge, Fuyi Li, Jiangning Song, Yang Zhang, Dong-Jun Yu
Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features. Briefings Bioinform. 22 (3) (2021)
Yan Liu, Yi-Heng Zhu, Xiaoning Song, Jiangning Song, Dong-Jun Yu
Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation. Briefings Bioinform. 22 (5) (2021)
Jun Hu, Liang Rao, Yi-Heng Zhu, Gui-Jun Zhang, Dong-Jun Yu
TargetDBP+: Enhancing the Performance of Identifying DNA-Binding Proteins via Weighted Convolutional Features. J. Chem. Inf. Model. 61 (1) (2021)
Yan Liu, Ke Han, Yi-Heng Zhu, Ying Zhang, Long-Chen Shen, Jiangning Song, Dong-Jun Yu
Improving protein fold recognition using triplet network and ensemble deep learning. Briefings Bioinform. 22 (6) (2021)
Jun Hu, Xiaogen Zhou, Yi-Heng Zhu, Dong-Jun Yu, Gui-Jun Zhang
TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Ming-Cai Chen, Yang Li, Yi-Heng Zhu, Fang Ge, Dong-Jun Yu
SSCpred: Single-Sequence-Based Protein Contact Prediction Using Deep Fully Convolutional Network. J. Chem. Inf. Model. 60 (6) (2020)
Yi-Heng Zhu, Jun Hu, Xiaoning Song, Dong-Jun Yu
DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines. J. Chem. Inf. Model. 59 (6) (2019)
Xiao-Rong Bao, Yi-Heng Zhu, Dong-Jun Yu
DeepTF: Accurate Prediction of Transcription Factor Binding Sites by Combining Multi-scale Convolution and Long Short-Term Memory Neural Network. IScIDE (2) (2019)