Tao Fang

The paper develops CRISPR-PAMdb and CICERO to uncover PAM diversity in Cas9 proteins, enabling better CRISPR tool design.

The paper improves protein-protein interaction prediction by integrating clade-wise alignments, enhancing co-evolutionary signals and reducing false positives for genome-wide scans.

CALISTA is a single-cell transcriptomic analysis tool that improves lineage reconstruction and cell ordering compared to existing methods.

The paper evaluates module identification methods across disease-relevant networks using GWAS data to identify top-performing algorithms and disease-associated modules.

This paper introduces a regression-based approach for gene-set enrichment analysis that identifies sparse, interpretable gene-sets for genes of interest.