PolyA-GLM: A comprehensive framework for De novo polyadenylation site prediction using genome language models
Published in Computational and Structural Biotechnology Journal (CSBJ), Elsevier, 2025
A comprehensive framework using genome language models for de novo polyadenylation site prediction, including dataset construction with hard negatives and genome-wide discovery experiments.
Recommended citation: Saha, S. et al. (2025). "PolyA-GLM: A comprehensive framework for De novo polyadenylation site prediction using genome language models." Computational and Structural Biotechnology Journal. Elsevier, Q1, Impact Factor 5.2.
