Li Charlie Xia

sxLaep is a fast and accurate enzyme predictor for metagenomic sequences, achieving high accuracy and speed compared to existing tools.

This paper introduces EnzHier, a machine learning algorithm that improves enzyme function prediction by integrating sequence, structural information, and functional hierarchy, achieving better accuracy than existing tools.

The paper develops UGES, a genetic and epigenetic classifier for breast cancer subtypes using hierarchical structure learning, achieving higher AUC and improved clinical stratification.

SeqDistK is a fast and accurate alignment-free tool for phylogenetic analysis, outperforming Muscle in speed and accuracy on 16S rRNA datasets.

This study introduces CC-NMF, a framework that jointly infers clonal structure from matched scDNA and scRNA data, showing robustness and accuracy in resolving genomic and transcriptomic clonal architecture.