Zhiqing Wang

This study uses scRNA-seq data with machine learning to predict plant metabolic pathway genes, finding higher accuracy compared to bulk RNA-seq and suggesting more benchmark genes improve predictions.

This paper improves AraC-based biosensors for triacetic acid lactone and orsellinic acid by reducing background expression, enhancing sensitivity, and increasing specificity through dual-selection and computational methods.