{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T16:39:50Z","timestamp":1772210390591,"version":"3.50.1"},"reference-count":54,"publisher":"Oxford University Press (OUP)","issue":"21","license":[{"start":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T00:00:00Z","timestamp":1630627200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61806159"],"award-info":[{"award-number":["61806159"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972312"],"award-info":[{"award-number":["61972312"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Xi\u2019an Municipal Science and Technology Program","award":["2020KJRC0027"],"award-info":[{"award-number":["2020KJRC0027"]}]},{"name":"Natural Science Basic Research Program of Shaanxi","award":["2020JM-575"],"award-info":[{"award-number":["2020JM-575"]}]},{"name":"Doctoral Scientific Research Foundation of Xi\u2019an Polytechnic University","award":["BS202108"],"award-info":[{"award-number":["BS202108"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Precise prediction of cancer subtypes is of significant importance in cancer diagnosis and treatment. Disease etiology is complicated existing at different omics levels; hence integrative analysis provides a very effective way to improve our understanding of cancer.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We propose a novel computational framework, named Deep Subspace Mutual Learning (DSML). DSML has the capability to simultaneously learn the subspace structures in each available omics data and in overall multi-omics data by adopting deep neural networks, which thereby facilitates the subtype\u2019s prediction via clustering on multi-level, single-level and partial-level omics data. Extensive experiments are performed in five different cancers on three levels of omics data from The Cancer Genome Atlas. The experimental analysis demonstrates that DSML delivers comparable or even better results than many state-of-the-art integrative methods.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>An implementation and documentation of the DSML is publicly available at https:\/\/github.com\/polytechnicXTT\/Deep-Subspace-Mutual-Learning.git.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btab625","type":"journal-article","created":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T17:06:14Z","timestamp":1630688774000},"page":"3715-3722","source":"Crossref","is-referenced-by-count":35,"title":["Deep Subspace Mutual Learning for cancer subtypes prediction"],"prefix":"10.1093","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6200-8727","authenticated-orcid":false,"given":"Bo","family":"Yang","sequence":"first","affiliation":[{"name":"School of Computer Science, Xi\u2019an Polytechnic University , Xi\u2019an 710048, China"}]},{"given":"Ting-Ting","family":"Xin","sequence":"additional","affiliation":[{"name":"School of Computer Science, Xi\u2019an Polytechnic University , Xi\u2019an 710048, China"}]},{"given":"Shan-Min","family":"Pang","sequence":"additional","affiliation":[{"name":"School of Software Engineering, Xi\u2019an Jiaotong University , Xi\u2019an 710049, China"}]},{"given":"Meng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Xi\u2019an Polytechnic University , Xi\u2019an 710048, China"}]},{"given":"Yi-Jie","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Software Engineering, Xi\u2019an Jiaotong University , Xi\u2019an 710049, China"}]}],"member":"286","published-online":{"date-parts":[[2021,9,3]]},"reference":[{"key":"2023051607345095100_btab625-B1","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1016\/j.cell.2010.11.013","article-title":"An integrated approach to uncover drivers of cancer","volume":"143","author":"Akavia","year":"2010","journal-title":"Cell"},{"key":"2023051607345095100_btab625-B2","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1038\/nm.3915","article-title":"Toward understanding and exploiting tumor heterogeneity","volume":"21","author":"Alizadeh","year":"2015","journal-title":"Nat. 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