{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T06:45:26Z","timestamp":1785912326267,"version":"3.56.0"},"reference-count":28,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T00:00:00Z","timestamp":1780012800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100021178","name":"University of Nottingham Ningbo China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100021178","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Array"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.array.2026.100965","type":"journal-article","created":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T00:10:35Z","timestamp":1780531835000},"page":"100965","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["A genomic data analysis-based technique for personalized and precision medicine"],"prefix":"10.1016","volume":"30","author":[{"given":"Zhengkai","family":"Qiu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0896-0650","authenticated-orcid":false,"given":"Pushpendu","family":"Kar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ujjwal","family":"Maulik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"6934","key":"10.1016\/j.array.2026.100965_b1","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1038\/nature01626","article-title":"A vision for the future of genomics research","volume":"422","author":"Collins","year":"2003","journal-title":"Nature"},{"issue":"9","key":"10.1016\/j.array.2026.100965_b2","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1038\/nrg.2016.86","article-title":"Towards precision medicine","volume":"17","author":"Ashley","year":"2016","journal-title":"Nature Rev Genet"},{"issue":"2","key":"10.1016\/j.array.2026.100965_b3","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1080\/10408363.2023.2259466","article-title":"Emerging applications of machine learning in genomic medicine and healthcare","volume":"61","author":"Chafai","year":"2024","journal-title":"Crit Rev Clin Lab Sci"},{"issue":"1","key":"10.1016\/j.array.2026.100965_b4","first-page":"7","article-title":"Cancer statistics, 2021","volume":"71","author":"Siegel","year":"2021","journal-title":"CA: Cancer J Clin"},{"issue":"4","key":"10.1016\/j.array.2026.100965_b5","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1124\/pharmrev.122.000810","article-title":"Pharmacogenomics: Driving personalized medicine","volume":"75","author":"Sadee","year":"2023","journal-title":"Pharmacol Rev"},{"issue":"6","key":"10.1016\/j.array.2026.100965_b6","first-page":"2059","article-title":"Deep learning in genomics: A survey","volume":"21","author":"Zhou","year":"2020","journal-title":"Brief Bioinform"},{"issue":"4","key":"10.1016\/j.array.2026.100965_b7","first-page":"1450","article-title":"Deep learning approaches to genomic data analysis for precision medicine","volume":"33","author":"Xu","year":"2022","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"2","key":"10.1016\/j.array.2026.100965_b8","first-page":"69","article-title":"Global cancer statistics","volume":"61","author":"Jemal","year":"2011","journal-title":"CA: Cancer J Clin"},{"key":"10.1016\/j.array.2026.100965_b9","series-title":"General data protection regulation (GDPR)","author":"European Union","year":"2016"},{"key":"10.1016\/j.array.2026.100965_b10","series-title":"Health information privacy","author":"U. S Department of Health and Human Services","year":"2021"},{"key":"10.1016\/j.array.2026.100965_b11","series-title":"Fairness and machine learning","author":"Barocas","year":"2019"},{"key":"10.1016\/j.array.2026.100965_b12","unstructured":"Chouldechova A, Roth A. The Frontiers of Fairness in Machine Learning. In: Proceedings of the 2018 ACM conference on fairness, accountability, and transparency. 2018."},{"key":"10.1016\/j.array.2026.100965_b13","doi-asserted-by":"crossref","unstructured":"Ribeiro MT, Singh S, Guestrin C. Why Should I Trust You? Explaining the Predictions of Any Classifier. In: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. 2016.","DOI":"10.1145\/2939672.2939778"},{"key":"10.1016\/j.array.2026.100965_b14","series-title":"Advances in neural information processing systems","article-title":"A unified approach to interpreting model predictions","author":"Lundberg","year":"2017"},{"issue":"7553","key":"10.1016\/j.array.2026.100965_b15","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"issue":"1","key":"10.1016\/j.array.2026.100965_b16","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach Learn"},{"issue":"3","key":"10.1016\/j.array.2026.100965_b17","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1023\/A:1022627411411","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Mach Learn"},{"key":"10.1016\/j.array.2026.100965_b18","doi-asserted-by":"crossref","DOI":"10.1186\/s12920-020-0686-1","article-title":"Deep learning-based cancer survival prognosis from RNA-seq data: Approaches and evaluations","volume":"13","author":"Huang","year":"2020","journal-title":"BMC Med Genom"},{"issue":"12","key":"10.1016\/j.array.2026.100965_b19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3580218","article-title":"Cancer prognosis and diagnosis methods based on ensemble learning","volume":"55","author":"Zolfaghari","year":"2023","journal-title":"ACM Comput Surv"},{"issue":"11","key":"10.1016\/j.array.2026.100965_b20","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1056\/NEJM200103153441101","article-title":"Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2","volume":"344","author":"Slamon","year":"2001","journal-title":"N Engl J Med"},{"key":"10.1016\/j.array.2026.100965_b21","doi-asserted-by":"crossref","DOI":"10.3389\/fphar.2023.1260276","article-title":"Machine learning in onco-pharmacogenomics: A path to precision medicine with many challenges","volume":"14","author":"Mondello","year":"2024","journal-title":"Front Pharmacol"},{"key":"10.1016\/j.array.2026.100965_b22","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.jclinepi.2019.02.016","article-title":"The proportion of missing data should not be used to guide decisions on multiple imputation","volume":"110","author":"Madley-Dowd","year":"2019","journal-title":"J Clin Epidemiol"},{"key":"10.1016\/j.array.2026.100965_b23","series-title":"Multiple imputation for nonresponse in surveys","author":"Rubin","year":"2002"},{"key":"10.1016\/j.array.2026.100965_b24","series-title":"Flexible imputation of missing data","author":"van Buuren","year":"2018"},{"issue":"6","key":"10.1016\/j.array.2026.100965_b25","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.69.066138","article-title":"Estimating mutual information","volume":"69","author":"Kraskov","year":"2004","journal-title":"Phys Rev E"},{"key":"10.1016\/j.array.2026.100965_b26","unstructured":"Bahdanau D, Cho K, Bengio Y. Neural machine translation by jointly learning to align and translate. In: Proceedings of the 3rd international conference on learning representations. 2015."},{"key":"10.1016\/j.array.2026.100965_b27","series-title":"Deep learning","author":"Goodfellow","year":"2016"},{"key":"10.1016\/j.array.2026.100965_b28","unstructured":"Kohavi R. A study of cross-validation and bootstrap for accuracy estimation and model selection. In: Proceedings of the 14th international joint conference on artificial intelligence. Montreal, Canada; 1995, p. 1137\u201343."}],"container-title":["Array"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2590005626002882?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2590005626002882?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T05:53:30Z","timestamp":1785909210000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2590005626002882"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":28,"alternative-id":["S2590005626002882"],"URL":"https:\/\/doi.org\/10.1016\/j.array.2026.100965","relation":{},"ISSN":["2590-0056"],"issn-type":[{"value":"2590-0056","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A genomic data analysis-based technique for personalized and precision medicine","name":"articletitle","label":"Article Title"},{"value":"Array","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.array.2026.100965","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"100965"}}