Identifying the potential miRNA biomarkers based on multi-view networks and reinforcement learning for diseases.

ABSTRACT: MicroRNAs (miRNAs) play important roles in the occurrence and development of diseases. However, it is still challenging to identify the effective miRNA biomarkers for improving the disease diagnosis and prognosis. In this study, we proposed the miRNA data analysis method based on multi-view miRNA networks and reinforcement learning, miRMarker, to define the potential miRNA disease biomarkers. miRMarker constructs the cooperative regulation network and functional similarity network based on the expression data and known miRNA-disease relations, respectively. The cooperative regulation of miRNAs was evaluated by measuring the changes of relative expression. Natural language processing was introduced for calculating the miRNA functional similarity. Then, miRMarker integrates the multi-view mi

SUBMITTER: Su B 

PROVIDER: S-EPMC10753537 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature