Ying Xu

The paper uses computational modeling and transcriptomic data to show that cancer cell phenotypes can be explained by Fenton reaction-driven proton production and reprogrammed metabolisms.

scFLUX predicts single-cell metabolic fluxome and variations using transcriptomics data, offering a web server and local tools for individual cell or sample-level analysis.

SuperDCA enables genome-wide epistasis analysis in bacteria by efficiently modeling interactions among polymorphisms, revealing novel biological insights in Streptococcus pneumoniae.