1039-TxPert: Predicting Transcriptomic Perturbation Effects

Paper Talk · May 27, 2026 · 21m

TxPert is a novel deep learning framework designed to predict how genetic changes alter a cell’s transcriptomic profile, even in scenarios where the specific changes have never been experimentally observed. The model distinguishes itself by integrating multiple knowledge graphs, such as STRING and Gene Ontology, to leverage existing biological data as a guide for its predictions. By utilizing graph neural networks, the system effectively simulates the impact of single or combined gene disruptions across various cell types. Research findings indicate that TxPert consistently outperforms…