KATZNCP: a miRNA-disease association prediction model integrating KATZ algorithm and network consistency projection.

ABSTRACT:

Background

Clinical studies have shown that miRNAs are closely related to human health. The study of potential associations between miRNAs and diseases will contribute to a profound understanding of the mechanism of disease development, as well as human disease prevention and treatment. MiRNA-disease associations predicted by computational methods are the best complement to biological experiments.

Results

In this research, a federated computational model KATZNCP was proposed on the basis of the KATZ algorithm and network consistency projection to infer the potential miRNA-disease associations. In KATZNCP, a heterogeneous network was initially constructed by integrating the known miRNA-disease association, integrated miRNA similarities, and integrated disease similarities; th

SUBMITTER: Chen M 

PROVIDER: S-EPMC10239144 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature