Xuhua Yan

ERFMTDA: Predicting tsRNA–disease associations using an enhanced rotative factorization machine

Abstract Motivation tRNA-derived small RNAs (tsRNAs) have emerged as a novel class of regulatory molecules implicated in the pathogenesis of many human diseases, making them as promising biomarkers and therapeutic targets. However, existing computational methods for tsRNA–disease...