Heterogeneous graph neural network for lncRNA-disease association prediction

• Published in: Scientific reports Vol. 12; no. 1; pp. 17519 - 11
• Main Authors: Shi, Hong, Zhang, Xiaomeng, Tang, Lin, Liu, Lin
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 20.10.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114; 692/53; 692/699; Algorithms; Case studies; Computational Biology - methods; Computer applications; Disease; Embedding; Humanities and Social Sciences; Mathematical models; MicroRNAs; miRNA; multidisciplinary; Neural networks; Neural Networks, Computer; Non-coding RNA; Prediction models; RNA, Long Noncoding - genetics; Science; Science (multidisciplinary); Topology

Identifying lncRNA-disease associations is conducive to the diagnosis, treatment and prevention of diseases. Due to the expensive and time-consuming methods verified by biological experiments, prediction methods based on computational models have gradually become an important means of lncRNA-disease...