Xiaomeng Huang

DS5 is an open-source framework that standardizes HTS data storage, analysis, and drug prioritization, validated against public benchmarks and applied in clinical settings.

This study uses scRNA-seq and WGS to analyze HSCR patient tissues, identifying impaired neuronal differentiation in aganglionic colon segments.

This study uses long-read scRNA-seq to analyze cancer subclone-specific mutations and transcriptomic differences in CLL patients with BTKC481S mutations.

This paper introduces ScreenDL, a deep learning model that predicts effective cancer therapies using tumor omic and drug screening data, outperforming existing methods in preclinical trials.

This study shows SCLC cells exist in a continuum of plastic states rather than discrete subtypes, with gene expression patterns linked to cancer hallmarks and potential therapeutic targets.

quickBAM accelerates BAM file access by utilizing parallel storage hardware, significantly reducing analysis time for genomic data processing.