Yue-Chao Li
Orcid: 0000-0002-9912-0648
According to our database1,
Yue-Chao Li authored at least 13 papers
between 2023 and 2026.
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Bibliography
2026
scGraphDap: Integrating Functional State Pseudo-Labels and Graph Structure Learning for Robust Cell Type Annotation in Tumor Microenvironments.
IEEE J. Biomed. Health Informatics, April, 2026
scProGraph: A Cell Bagging Strategy for Cell Type Annotation With Gene Interaction-Aware Explainability.
IEEE Trans. Big Data, February, 2026
HMFCDA: Hierarchical deep learning with semantic embeddings for CircRNA-disease association prediction.
Neurocomputing, 2026
KA-DDI: A knowledge-adaptive contrastive learning framework for drug-drug interaction prediction.
Expert Syst. Appl., 2026
2025
scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis.
CoRR, February, 2025
Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data.
CoRR, February, 2025
CoRR, February, 2025
scTECTA: Asymmetric Deep Transfer Learning for Cross-Patient Tumor Microenvironment Single-Cell Annotation.
IEEE Trans. Comput. Biol. Bioinform., 2025
Bridging Knowledge Gaps: Fine-Tuned RAG Frameworks for Biomedical Evidence-Based Question Answering.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
Unsupervised Cell Clustering in Single-Cell RNA Sequencing Data Using a Multi-Graph Transformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
MuseCDA: Predicting CircRNA-Disease Associations Via Multi-Scale Structure Embedding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2023
A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks.
Briefings Bioinform., May, 2023
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions.
IEEE J. Biomed. Health Informatics, 2023