{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:23:23Z","timestamp":1740140603190,"version":"3.37.3"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572284","61502272","61702299"],"award-info":[{"award-number":["61572284","61502272","61702299"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Comput. Biol. and Bioinf."],"published-print":{"date-parts":[[2019,1,1]]},"DOI":"10.1109\/tcbb.2017.2769647","type":"journal-article","created":{"date-parts":[[2017,11,3]],"date-time":"2017-11-03T18:08:36Z","timestamp":1509732516000},"page":"172-182","source":"Crossref","is-referenced-by-count":14,"title":["A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3934-0435","authenticated-orcid":false,"given":"Juan","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6104-2149","authenticated-orcid":false,"given":"Jin-Xing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2695-1926","authenticated-orcid":false,"given":"Chun-Hou","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ya-Xuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang-Zhen","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chang-Gang","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.259"},{"key":"ref38","article-title":"Generalized graph regularized non-negative matrix factorization for data representation","author":"hao","year":"2013","journal-title":"Proc 2012 Int Conf Inf Technol Soft Eng"},{"key":"ref33","first-page":"1208","article-title":"Neighborhood preserving embedding","volume":"2","author":"he","year":"2005","journal-title":"10th IEEE Int Conf Comput Vis"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","article-title":"Nonlinear dimensionality reduction by locally linear embedding","volume":"290","author":"roweis","year":"2000","journal-title":"Sci"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321780317"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2013.6738777"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"1548","DOI":"10.1109\/TPAMI.2010.231","article-title":"Graph regularized nonnegative matrix factorization for data representation","volume":"33","author":"cai","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2090535"},{"key":"ref35","article-title":"A global geometric framework for nonlinear dimensionality reduction","volume":"290","author":"tenenbaum","year":"2000","journal-title":"Sci"},{"key":"ref34","first-page":"59","article-title":"The laplacian eigenmaps latent variable model","volume":"2","author":"\u00e1 carreira-perpi\u00f1\u00e1n","year":"0","journal-title":"Proc Int Workshop Artif Intell Statist"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2197748"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126422"},{"key":"ref29","first-page":"2618","article-title":"Low-rank matrix recovery with structural incoherence for robust face recognition","author":"chen","year":"0"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"4164","DOI":"10.1073\/pnas.0308531101","article-title":"Metagenes and molecular pattern discovery using matrix factorization","volume":"101","author":"brunet","year":"2004","journal-title":"Proc the Natl Acad Sci"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2174\/092986606778777498"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-009-9045-5"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2014EDL8234"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.11.009"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-015-1635-8"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-14-S8-S3"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref25","first-page":"663","article-title":"Robust Subspace Segmentation by Low-Rank Representation","author":"liu","year":"2010","journal-title":"Int Conf Mach Learn"},{"key":"ref50","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1093\/biostatistics\/kxp008","article-title":"A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis","volume":"10","author":"hastie","year":"2009","journal-title":"Biostatistics"},{"key":"ref51","first-page":"612","article-title":"Linearized alternating direction method with adaptive penalty for low-rank representation","author":"lin","year":"0","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref53","first-page":"357","article-title":"Matching Theory. In","volume":"29","author":"lov\u00e1sz","year":"1986","journal-title":"Ann Discrete Math"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/860435.860485"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1007\/978-1-4471-5571-3_13","article-title":"Nonnegative matrix factorization","volume":"39","author":"du","year":"2014","journal-title":"Proc Neural Netw Statist Learn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/44565"},{"key":"ref40","first-page":"208","article-title":"A two-graph guided multi-task lasso approach for eQTL mapping","author":"chen","year":"0","journal-title":"Proc 15th Int Conf Artif Intell Statist"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2202\/1544-6115.1075"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2012.03.012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/18.9.1216"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2012.02.002"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-12-253"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11081-008-9057-z"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.09.010"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti653"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICBBE.2010.5517826"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2018115"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-72031-7_43"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti1041"},{"key":"ref7","first-page":"723","article-title":"Bayesian Factor Regression Models in the ”Large p, Small n“ Paradigm","volume":"7","author":"west","year":"2002","journal-title":"Bayesian Stat"},{"key":"ref49","first-page":"1601","article-title":"Learning with hypergraphs: Clustering, classification, and embedding","volume":"19","author":"zhou","year":"2006","journal-title":"Advances Neural Inf Process Syst"},{"key":"ref9","first-page":"218","article-title":"Principal component analysis","volume":"87","author":"rose","year":"2013","journal-title":"Georgia Inst Technology"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2609760"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.100"},{"key":"ref47","first-page":"1","article-title":"Robust principal component analysis","volume":"58","author":"partridge","year":"2011","journal-title":"J ACM"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bts227"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btu293"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2462360"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.274"}],"container-title":["IEEE\/ACM Transactions on Computational Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8857\/8635319\/08094872.pdf?arnumber=8094872","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:58:51Z","timestamp":1657745931000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8094872\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,1]]},"references-count":53,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tcbb.2017.2769647","relation":{},"ISSN":["1545-5963","1557-9964","2374-0043"],"issn-type":[{"type":"print","value":"1545-5963"},{"type":"electronic","value":"1557-9964"},{"type":"electronic","value":"2374-0043"}],"subject":[],"published":{"date-parts":[[2019,1,1]]}}}