Yu-an Q. Huang
3688 Nanhai Avenue
Shenzhen, China
Shenzhen, China
Last Updated: 09/26/2026
Save publications for later
Sign Up
Not sure about your diagnosis?
Check Your Symptoms
Found 70 publications
A Novel Graph Transformer Framework for Predicting Drug-Disease Associations with Structural Awareness.
Journal: IEEE transactions on computational biology and bioinformatics
Published: August 06, 2026
Functionally Guided Graph Learning for Robust Cross-Patient Cell-Type Annotation in Single-Cell RNA Sequencing.
Journal: Journal of chemical information and modeling
Published: July 15, 2026
Spatial-Spectral Fusion Enables Drug Repositioning by Capturing Indirect and Long-Range Associations in Biological Networks.
Journal: Bioinformatics (Oxford, England)
Published: May 17, 2026
scALGSL: Active Learning and Graph Structure Learning for Cell Type Annotation From Single-Cell RNA-Seq Data.
Journal: IEEE transactions on computational biology and bioinformatics
Published: May 14, 2026
FD-MSGL: Drug Repositioning via Frequency-Domain Multi-Source Synergistic Graph Learning.
Journal: IEEE journal of biomedical and health informatics
Published: April 28, 2026
SARGE: A novel framework for miRNA-mRNA interaction prediction combining jumping knowledge aggregation with multi-layer graph attention network.
Journal: International journal of biological macromolecules
Published: March 30, 2026
scBIT: Integrating Single-Cell Transcriptomic Data Into fMRI-Based Prediction for Alzheimer's Disease Diagnosis.
Journal: IEEE transactions on medical imaging
Published: March 19, 2026
scTECTA: Asymmetric Deep Transfer Learning for Cross-Patient Tumor Microenvironment Single-Cell Annotation.
Journal: IEEE transactions on computational biology and bioinformatics
Published: October 07, 2025
scGraphDap: Integrating Functional State Pseudo-Labels and Graph Structure Learning for Robust Cell Type Annotation in Tumor Microenvironments.
Journal: IEEE journal of biomedical and health informatics
Published: September 10, 2025
DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction.
DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction.
Journal: PLoS computational biology
Published: August 09, 2025
scKAN: interpretable single-cell analysis for cell-type-specific gene discovery and drug repurposing via Kolmogorov-Arnold networks.
Journal: Genome biology
Published: April 18, 2025
Last Updated: 09/26/2026