D. Amato

GraphTFactor: A graph-based approach for proteins transcription factor prediction

GraphTFactor, a novel end-to-end framework that models protein sequences as graphs and directly classifies transcription factors, is proposed, demonstrating the effectiveness of graph-based representations for TF prediction while providing interpretable insights into the sequence regions contributing to the model's pre...