HGTMDA: A Hypergraph Learning Approach with Improved GCN-Transformer for miRNA–Disease Association Prediction

Accumulating scientific evidence highlights the pivotal role of miRNA–disease association research in elucidating disease pathogenesis and developing innovative diagnostics. Consequently, accurately identifying disease-associated miRNAs has emerged as a prominent research topic in bioinformatics. Ad...

詳細記述

書誌詳細
主要な著者: Daying Lu, Jian Li, Chunhou Zheng, Jinxing Liu, Qi Zhang
フォーマット: 論文
言語:English
出版事項: MDPI AG 2024-07-01
シリーズ:Bioengineering
主題:
オンライン・アクセス:https://www.mdpi.com/2306-5354/11/7/680