MHGTMDA: Molecular heterogeneous graph transformer based on biological entity graph for miRNA-disease associations prediction

• Main Authors: Haitao Zou (Author), Boya Ji (Author), Meng Zhang (Author), Fen Liu (Author), Xiaolan Xie (Author), Shaoliang Peng (Author)
• Formato: Libro
• Publicado: Elsevier, 2024-03-01T00:00:00Z.
• Subjects: article
• Acceso en liña: Connect to this object online.

MicroRNAs (miRNAs) play a crucial role in the prevention, prognosis, diagnosis, and treatment of complex diseases. Existing computational methods primarily focus on biologically relevant molecules directly associated with miRNA or disease, overlooking the fact that the human body is a highly complex...