Integrating lncRNA data for prediction of miRNA-disease association using network fusion and matrix completion.

Abstract excerpt

MicroRNAs (miRNAs) regulate essential biological processes and play critical roles in the pathogenesis of complex human diseases. Consequently, accurate identification of potential miRNA-disease associations (MDAs) is of great importance for disease diagnosis, prognosis, and therapeutic development. However, traditional experimental approaches are often time-consuming and costly. Although numerous computational...

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