Application of Attention and Graph Transformer-Based Approaches for RNA Biomarker Discovery in Metabolically-Associated Fatty Liver Disease (MAFL/NASH)
Aashish Cheruvu, Daniel Zezulinski, Aejaz Sayeed
This study uses attention and graph transformer models to identify RNA biomarkers for NAFLD/NASH, achieving higher accuracy than baseline methods and validating top candidates in lab experiments.
bioRxiv · Nov 5, 2023 · PreprintBioinformatics