Taifu Wang

The paper introduces a fast and accurate DNASeq variant calling workflow using the LUSH toolkit, showing it is 17x faster than GATK while maintaining comparable accuracy.

This paper introduces Genetic Transformer (GeneT), an LLM-driven method that significantly reduces candidate variant numbers and improves recall in rare disease diagnosis.

This study evaluates how blood storage conditions affect plasma cell-free RNA transcript profiles, finding that mRNA and lncRNA stability is highest at 4°C for 6 hours or RT for 2 hours.

CNV-PG is a machine-learning framework that improves CNV prediction and genotyping accuracy by reducing false positives and integrating results from multiple callers.

The paper analyzes single-cell RNA-seq data from human embryos to compare gene expression between males and females, identifying differences in sex chromosome activation and dosage compensation during early development.