Han Wang
Orcid: 0000-0002-4302-1886Affiliations:
- Northeast Normal University, School of Information Science and Technology, Institute of Computational Biology, Changchun, China
- Jilin University, China (PhD 2012)
According to our database1,
Han Wang authored at least 22 papers
between 2017 and 2026.
Collaborative distances:
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Bibliography
2026
MML-DTI: Multimanifold Learning with Hyperbolic Graph Neural Networks for Enhanced Drug-Target Interaction Prediction.
J. Chem. Inf. Model., 2026
2025
MEMO-Stab2: Multi-View Sequence-Based Deep Learning Framework for Predicting Mutation-Induced Stability Changes in Transmembrane Proteins.
J. Chem. Inf. Model., 2025
Improving generalizability of drug-target binding prediction by pre-trained multi-view molecular representations.
Bioinform., 2025
DeepKEGG-Agent: A Dialogue-Driven LLM-based Framework for Automated Multi-Omics Modeling in Cancer Outcome Prediction.
Proceedings of the 2025 9th International Conference on Computational Biology and Bioinformatics, 2025
HyperDTI-Lite: Hyperbolic Geometry for Enhanced Drug-Target Interaction Prediction via Heterogeneous Feature Fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
PocketLG: Protein Binding Pocket Identification Using Protein Language Model and Graph Transformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
DeepCRC: Precision Colorectal Cancer Diagnosis Using Deep Learning and Metagenomic Biomarkers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound Protein Interactions.
CoRR, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
MSCAP: DNA Methylation Age Predictor based on Multiscale Convolutional Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
An Improved Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Predicting Compound-Protein Interaction by Deepening the Systemic Background via Molecular Network Feature Embedding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Discover the Binding Domain of Transmembrane Proteins Based on Structural Universality.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
TM-ZC: A Deep Learning-Based Predictor for the Z-Coordinate of Residues in α-Helical Transmembrane Proteins.
IEEE Access, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
PsyMuKB: An Integrative <i>De Novo</i> Variant Knowledge Base for Developmental Disorders.
Genom. Proteom. Bioinform., 2019
DMCTOP: Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Protein Function Prediction Using Function Associations in Protein-Protein Interaction Network.
IEEE Access, 2018
2017
Deep learning architecture for iris recognition based on optimal Gabor filters and deep belief network.
J. Electronic Imaging, 2017
OMPcontact: An Outer Membrane Protein Inter-Barrel Residue Contact Prediction Method.
J. Comput. Biol., 2017