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Numerous approaches exist for predicting cancer drivers from cohort-scale genomics data. However, methods for personalized analysis of driver genes are underdeveloped. In this study, we developed a novel personalized\/batch analysis approach for driver gene prioritization utilizing somatic genomics data, called driveR.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Combining genomics information and prior biological knowledge, driveR accurately prioritizes cancer driver genes via a multi-task learning model. Testing on 28 different datasets, this study demonstrates that driveR performs adequately, achieving a median AUC of 0.684 (range 0.651\u20130.861) on the 28 batch analysis test datasets, and a median AUC of 0.773 (range 0\u20131) on the 5157 personalized analysis test samples. Moreover, it outperforms existing approaches, achieving a significantly higher median AUC than all of MutSigCV (Wilcoxon rank-sum test p\u2009&lt;\u20090.001), DriverNet (p\u2009&lt;\u20090.001), OncodriveFML (p\u2009&lt;\u20090.001) and MutPanning (p\u2009&lt;\u20090.001) on batch analysis test datasets, and a significantly higher median AUC than DawnRank (p\u2009&lt;\u20090.001) and PRODIGY (p\u2009&lt;\u20090.001) on personalized analysis datasets.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      This study demonstrates that the proposed method is an accurate and easy-to-utilize approach for prioritizing driver genes in cancer genomes in personalized or batch analyses. driveR is available on CRAN:\n                      <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/cran.r-project.org\/package=driveR\">https:\/\/cran.r-project.org\/package=driveR<\/jats:ext-link>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12859-021-04203-7","type":"journal-article","created":{"date-parts":[[2021,5,24]],"date-time":"2021-05-24T07:03:15Z","timestamp":1621839795000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["driveR: a novel method for prioritizing cancer driver genes using somatic genomics data"],"prefix":"10.1186","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2090-3621","authenticated-orcid":false,"given":"Ege","family":"\u00dclgen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"O. 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