Yulian Ding
Orcid: 0000-0001-7435-7094
According to our database1,
Yulian Ding
authored at least 13 papers
between 2016 and 2024.
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Bibliography
2024
scCADE: A Superior Tool for Predicting Perturbation Responses in Single-Cell Gene Expression Using Contrastive Learning and Attention Mechanisms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Deciphering Bladder Cancer-Related circRNA Biomarkers: An Ensemble Model Integrating Deep Learning and Statistics for circRNA Analysis.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
2023
Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise Encoding.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
2022
Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix Factorization.
IEEE J. Biomed. Health Informatics, 2022
Identifying Gene Signatures for Cancer Drug Repositioning Based on Sample Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associations.
Briefings Bioinform., 2022
Unseen Epitope-TCR Interaction Prediction based on Amino Acid Physicochemical Properties.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
2020
Predicting novel CircRNA-disease associations based on random walk and logistic regression model.
Comput. Biol. Chem., 2020
2016
Identification of dynamic protein complexes based on fruit fly optimization algorithm.
Knowl. Based Syst., 2016
Detecting protein complexes from DPINs by density based clustering with Pigeon-Inspired Optimization Algorithm.
Sci. China Inf. Sci., 2016
A decomposition based evolutionary algorithm with uniform design for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016