{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T17:21:31Z","timestamp":1648920091941},"reference-count":0,"publisher":"Faculty of Electrical Engineering and Computing, Univ. of Zagreb","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CIT. J. comput. inf. technol"],"abstract":"<jats:p>Early cancer diagnosis and prognosis prediction are necessary for cancer patients. Effective identification of cancer-related genes and biomarkers and survival prediction for cancer patients would facilitate personalized treatment of cancer patients. This study aimed to investigate a method for integrating data regarding gene expression and protein-protein interaction networks to identify cancer-related prognostic genes via random walk with restart algorithm and survival analysis. Known cancer-related genes in protein-protein interaction networks were considered seed genes, and the random walk algorithm was used to identify candidate cancer-related genes. Thereafter, using the univariant Cox regression model, gene expression data were screened to identify survival-related genes. Furthermore, candidate genes and survival-related genes were screened to identify cancer-related prognostic genes. Finally, the effectiveness of the method was verified through gene function analysis and survival prediction. The results indicate that the cancer-related genes can be considered prognostic cancer biomarkers\nand provide a basis for cancer diagnosis.<\/jats:p>","DOI":"10.20532\/cit.2019.1004856","type":"journal-article","created":{"date-parts":[[2020,5,7]],"date-time":"2020-05-07T14:00:03Z","timestamp":1588860003000},"page":"57-71","source":"Crossref","is-referenced-by-count":0,"title":["Identification of Novel Cancer-Related Genes with a Prognostic Role Using Gene Expression and Protein-Protein Interaction Network Data"],"prefix":"10.20532","volume":"27","author":[{"given":"Peng","family":"Li","sequence":"first","affiliation":[{"name":"Beijing Normal University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Sun","sequence":"additional","affiliation":[{"name":"Beijing Normal University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maozu","family":"Guo","sequence":"additional","affiliation":[{"name":"Beijing University of Civil Engineering and Architecture"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"8460","published-online":{"date-parts":[[2020,5,7]]},"container-title":["Journal of Computing and Information Technology"],"original-title":[],"deposited":{"date-parts":[[2020,5,7]],"date-time":"2020-05-07T14:00:03Z","timestamp":1588860003000},"score":1,"resource":{"primary":{"URL":"http:\/\/cit.fer.hr\/index.php\/CIT\/article\/view\/4856"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,7]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2020,5,7]]}},"URL":"https:\/\/doi.org\/10.20532\/cit.2019.1004856","relation":{},"ISSN":["1330-1136","1846-3908"],"issn-type":[{"value":"1330-1136","type":"print"},{"value":"1846-3908","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,7]]}}}