Chunxuan Shao

mslp: a comprehensive pipeline in predicting cancer mutations specific synthetic lethal partners

The paper introduces mslp, a pipeline that identifies cancer mutation-specific synthetic lethal partners using genomic and transcriptomic data, showing improved consistency and impact on cell viability.

Inference of maternal allele inheritance via Bayesian hierarchical model in noninvasive prenatal diagnosis

This paper introduces a Bayesian hierarchical model to infer maternal allele inheritance in noninvasive prenatal diagnosis, showing improved accuracy and robustness compared to existing methods.

Synlet: an R package for systemically analyzing synthetic lethal RNA interference screen data

Synlet is an R package that provides a complete pipeline for analyzing synthetic lethal RNAi screen data, including quality assessment, normalization, and hit selection methods.