Duc‐Hau Le

VN1K provides a comprehensive multi-omics and phenomics resource for the Vietnamese population, identifying novel variants and functional associations with disease traits and drug responses.

PAG-Agent performs pathway-level analysis and interpretation of transcriptomic data, identifying biologically relevant pathways and generating hypotheses across datasets and conditions.

This paper introduces DeepSSC, a biphasic deep semi-supervised framework for multi-omics subtype classification and biomarker discovery, showing improved performance and novel biomarker identification.

oCEM detects and analyzes overlapping co-expressed gene modules using decomposition methods and a permutation-based approach to select principal components, outperforming existing techniques.

This paper introduces GraphDRP, a graph convolutional network for drug response prediction, showing improved performance and interpretability through molecular graph representation.