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In this study, we proposed a network\u2010based approach for identifying novel CNV\u2010associated genes. To execute such method, we first employed a protein\u2010protein interaction network reported in STRING. Then, we applied a network diffusion algorithm, Laplacian heat diffusion, on this network by selecting validated CNV\u2010related genes as the seed nodes. As a result, some novel genes that had unknown but strong relationships with validated genes were identified. Furthermore, we used a screening procedure to extract the most essential genes. Eleven latent CNV\u2010related genes were finally obtained. Extensive analyses were performed to confirm that these genes are novel CNV\u2010related genes.<\/jats:p>","DOI":"10.1155\/2021\/2295412","type":"journal-article","created":{"date-parts":[[2021,9,7]],"date-time":"2021-09-07T18:05:10Z","timestamp":1631037910000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Identification of Novel Choroidal Neovascularization\u2010Related Genes Using Laplacian Heat Diffusion 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