Yiheng Zhu
Orcid: 0000-0002-3857-1533Affiliations:
- Nanjing Agricultural University, College of Artificial Intelligence, China
- Nanjing University of Science and Technology, School of Computer Science and Engineering, China (PhD 2023)
- University of Michigan, Department of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA
According to our database1,
Yiheng Zhu
authored at least 15 papers
between 2019 and 2024.
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Bibliography
2024
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction.
Briefings Bioinform., January, 2024
BLAM6A-Merge: Leveraging Attention Mechanisms and Feature Fusion Strategies to Improve the Identification of RNA N6-Methyladenosine Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Improving Antifreeze Proteins Prediction With Protein Language Models and Hybrid Feature Extraction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
2023
Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction.
Comput. Biol. Medicine, November, 2023
2022
Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction.
PLoS Comput. Biol., December, 2022
TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction.
Genom. Proteom. Bioinform., October, 2022
MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network.
Briefings Bioinform., 2022
2021
TargetDBP+: Enhancing the Performance of Identifying DNA-Binding Proteins via Weighted Convolutional Features.
J. Chem. Inf. Model., 2021
Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features.
Briefings Bioinform., 2021
Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
2020
TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
SSCpred: Single-Sequence-Based Protein Contact Prediction Using Deep Fully Convolutional Network.
J. Chem. Inf. Model., 2020
2019
DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines.
J. Chem. Inf. Model., 2019
DeepTF: Accurate Prediction of Transcription Factor Binding Sites by Combining Multi-scale Convolution and Long Short-Term Memory Neural Network.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019