Yan Liu
Orcid: 0000-0002-5331-3655Affiliations:
- Yangzhou University, School of Information Engineering, Yangzhou, China
According to our database1,
Yan Liu
authored at least 19 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
TransEFVP: A Two-Stage Approach for the Prediction of Human Pathogenic Variants Based on Protein Sequence Embedding Fusion.
J. Chem. Inf. Model., February, 2024
Inf. Sci., February, 2024
CTISL: a dynamic stacking multi-class classification approach for identifying cell types from single-cell RNA-seq data.
Bioinform., February, 2024
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction.
Briefings Bioinform., January, 2024
GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference.
Briefings Bioinform., January, 2024
Prediction of protein-ATP binding residues using multi-view feature learning via contextual-based co-attention network.
Comput. Biol. Medicine, 2024
2023
TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level.
Briefings Bioinform., May, 2023
Learning Cell Annotation under Multiple Reference Datasets by Multisource Domain Adaptation.
J. Chem. Inf. Model., 2023
2022
TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction.
Genom. Proteom. Bioinform., October, 2022
Learning Protein Embedding to Improve Protein Fold Recognition Using Deep Metric Learning.
J. Chem. Inf. Model., 2022
Enhancing Characteristic Gene Selection and Tumor Classification by the Robust Laplacian Supervised Discriminative Sparse PCA.
J. Chem. Inf. Model., 2022
2021
Briefings Bioinform., 2021
Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites.
Briefings Bioinform., 2021
2019
A New Robust Deep Canonical Correlation Analysis Algorithm for Small Sample Problems.
IEEE Access, 2019
2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017