MVNMDA: A Multi-View Network Combing Semantic and Global Features for Predicting miRNA-Disease Association.

ABSTRACT: A growing body of experimental evidence suggests that microRNAs (miRNAs) are closely associated with specific human diseases and play critical roles in their development and progression. Therefore, identifying miRNA related to specific diseases is of great significance for disease screening and treatment. In the early stages, the identification of associations between miRNAs and diseases demanded laborious and time-consuming biological experiments that often carried a substantial risk of failure. With the exponential growth in the number of potential miRNA-disease association combinations, traditional biological experimental methods face difficulties in processing massive amounts of data. Hence, developing more efficient computational methods to predict possible miRNA-disease associations

SUBMITTER: Yang C 

PROVIDER: S-EPMC10780172 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature