iPiDA-GCN: Identification of piRNA-disease associations based on Graph Convolutional Network.
Journal:
PLoS computational biology
Published Date:
Oct 27, 2022
Abstract
MOTIVATION: Piwi-interacting RNAs (piRNAs) play a critical role in the progression of various diseases. Accurately identifying the associations between piRNAs and diseases is important for diagnosing and prognosticating diseases. Although some computational methods have been proposed to detect piRNA-disease associations, it is challenging for these methods to effectively capture nonlinear and complex relationships between piRNAs and diseases because of the limited training data and insufficient association representation.