Ting‐Ying Wu

TISCalling identifies and ranks translational initiation sites in plants and viruses using machine learning and statistical analysis, providing prediction scores and web tools for visualization.

The paper identifies HSFA1 as a conserved regulator of chromatin dynamics in heat stress responses across plants, mice, and humans, and develops a cross-species machine learning framework to predict chromatin accessibility and gene expression.

The paper develops a k-mer pipeline to predict gene expression and identify transcription factor binding motifs in plant stress responses, introducing the PREDICT database.

The paper develops a model to predict alternative translation initiation sites in plants, revealing conserved cis-regulatory codes across eukaryotes and viruses.