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ABSTRACT: Background
Prostate adenocarcinoma is a frequent cancer among men with high incidence and mortality rates. Biomarkers are useful for the treatment of cancers, so we need to explore the regulatory network of prostate adenocarcinoma.Method
The database from University of California Santa Cruz was used to determine expression of messenger RNAs and microRNAs. Weighted correlation network analysis was used for classifying genes. Search Tool for Recurring Instances of Neighboring Genes and Cytoscape were used for the construction of PPI network and selection of hub genes. The microRNAs were predicted in miRactDB. The relations between microRNAs and messenger RNAs were assessed by Statistical Product and Service Solutions. The prognostic value was evaluated through Kaplan-Meier me
SUBMITTER: Zhang NB
PROVIDER: S-EPMC10709018 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature