Ping Ma

SpaDiff improves spatial transcriptomics by reversing RNA molecule displacement, enhancing spatial specificity and data integrity for downstream analyses.

This study evaluates matricization and feature selection methods for analyzing multi-dimensional tensor behavioral data from zebrafish, showing improved classification performance and revealing new behavioral differences.

The paper introduces QSMART, a model that predicts protein kinase inhibitor response by combining statistical and neural network methods, achieving high accuracy and feature explainability.

This study identifies the Aquarius/EMB-4 helicase as essential for initiating small RNA-induced co-transcriptional gene silencing in C. elegans by facilitating HRDE-1 complex engagement with nascent transcripts.