Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction

arXiv:2405.02354v1 Announce Type: new
Abstract: The emerging research shows that lncRNAs are associated with a series of complex human diseases. However, most of the existing methods have limitations in identifying nonlinear lncRNA-disease associations (LDAs), and it remains a huge challenge to predict new LDAs. Therefore, the accurate identification of LDAs is very important for the warning and treatment of diseases. In this work, multiple sources of biomedical data are fully utilized to construct characteristics of lncRNAs and diseases, and linear …

abstract arxiv association attention auto challenge cs.ai cs.lg disease diseases encoder graph however human identification limitations network prediction q-bio.qm research series shows type