{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T19:41:59Z","timestamp":1773171719527,"version":"3.50.1"},"reference-count":78,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"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":["61872220"],"award-info":[{"award-number":["61872220"]}],"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":["61572284"],"award-info":[{"award-number":["61572284"]}],"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":["61702299"],"award-info":[{"award-number":["61702299"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1109\/tnnls.2019.2893190","type":"journal-article","created":{"date-parts":[[2019,2,22]],"date-time":"2019-02-22T19:47:18Z","timestamp":1550864838000},"page":"2926-2937","source":"Crossref","is-referenced-by-count":56,"title":["Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3044-9779","authenticated-orcid":false,"given":"Chun-Mei","family":"Feng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0530-2123","authenticated-orcid":false,"given":"Yong","family":"Xu","sequence":"additional","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\/0000-0003-0483-5622","authenticated-orcid":false,"given":"Ying-Lian","family":"Gao","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"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1186\/s12943-017-0624-9"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.24602"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.2165\/00003495-199754030-00009"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1038\/nrm1549"},{"key":"ref76","first-page":"763","article-title":"mTOR inhibitors show promising in vitro activity in bladder cancer and head and neck squamous cell carcinoma","volume":"25","author":"schedel","year":"2011","journal-title":"Oncol Rep"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.12.019"},{"key":"ref74","first-page":"1715","article-title":"Evolving role of FDG-PET imaging in the management of patients with gall bladder cancer and cholangiocarcinoma","volume":"47","author":"cermik","year":"2006","journal-title":"J Nucl Med"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2013.08.007"},{"key":"ref75","first-page":"176","article-title":"VB4-845, a conjugated recombinant antibody and immunotoxin for head and neck cancer and bladder cancer","volume":"10","author":"biggers","year":"2008","journal-title":"Current Opinion in Molecular Therapeutics"},{"key":"ref38","first-page":"915","article-title":"Spectral bounds for sparse PCA: Exact and greedy algorithms","author":"moghaddam","year":"2005","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390277"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1198\/106186006X113430"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2539778"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2461554"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-011-0452-4"},{"key":"ref36","first-page":"517","article-title":"Generalized power method for sparse principal component analysis","volume":"11","author":"journ\u00e9e","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2007.06.007"},{"key":"ref34","first-page":"1269","article-title":"Optimal solutions for sparse principal component analysis","volume":"9","author":"d\u2019aspremont","year":"2007","journal-title":"J Mach Learn Res"},{"key":"ref60","doi-asserted-by":"crossref","first-page":"54c","DOI":"10.1158\/1538-7445.FBCR13-C54","article-title":"Abstract C54: Pdgfrb is an essential mediator of p53 (mut)-driven metastasis in pancreatic cancer","volume":"73","author":"weissmueller","year":"2014","journal-title":"Cancer Res"},{"key":"ref62","first-page":"125","article-title":"High expression of ABCC1 indicates poor prognosis in intrahepatic cholangiocarcinoma","volume":"13","author":"srimunta","year":"2012","journal-title":"Asian Pacific J Cancer Prevention"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1080\/15216540701736285"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1093\/carcin\/bgr223"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-018-2085-6"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1038\/onc.2014.102"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.07.009"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1002\/hep.20031"},{"key":"ref66","doi-asserted-by":"crossref","first-page":"8251","DOI":"10.1038\/sj.onc.1206020","article-title":"FGFR4 overexpression in pancreatic cancer is mediated by an intronic enhancer activated by HNF1alpha","volume":"21","author":"ibbitt","year":"2002","journal-title":"Oncogene"},{"key":"ref29","first-page":"37","article-title":"Large sparse cone non-negative matrix factorization for image annotation","volume":"8","author":"gao","year":"2017","journal-title":"ACM Trans Intell Syst Technol"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.20204"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2014.06.003"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/S0923-1811(98)83723-7"},{"key":"ref2","article-title":"DNA microarray and gene expression","volume":"24","author":"liu","year":"2003","journal-title":"Progr Veterinary Med"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btk046"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2014.912135"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2631481"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2248094"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1093\/molbev\/msv334"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-014-0413-x"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1137\/050645506"},{"key":"ref25","first-page":"1628","article-title":"Neural networks for inverse problems using principal component analysis and orthogonal arrays","volume":"44","author":"yong","year":"2015","journal-title":"AIAA J"},{"key":"ref50","first-page":"1","article-title":"Joint L1\/2-norm constraint and graph-Laplacian PCA method for feature extraction","volume":"2017","author":"feng","year":"2017","journal-title":"Biomed Res Int"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TNB.2017.2690365"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1210\/en.2004-0865"},{"key":"ref58","first-page":"1324","article-title":"Feature selection via joint embedding learning and sparse regression","author":"hou","year":"2011","journal-title":"Proc Int Joint Conf Artif Intell (IJCAI)"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-012-0827-3"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143880"},{"key":"ref55","first-page":"1813","article-title":"Efficient and robust feature selection via joint $L_{2,1}$ -norms minimization","author":"nie","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.448"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.12.015"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539989"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.3.3.034501"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2212721"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2427451"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2794470"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1006\/mgme.2001.3193"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiolchem.2007.10.001"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00429-015-1059-y"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-14-S8-S3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-1904-8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2015.2440265"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2297381"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw833"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.4634"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-015-0680-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/00949650902798129"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2014.2383375"},{"key":"ref7","first-page":"325","article-title":"A review on machine learning principles for multi-view biological data integration","volume":"19","author":"li","year":"2018","journal-title":"Brief Bioinf"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2703636"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/18.1.39"},{"key":"ref46","first-page":"48","article-title":"Sparse linear discriminant analysis with applications to high dimensional low sample size data","volume":"39","author":"qiao","year":"2009","journal-title":"IAENG Int J Appl Math"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0722-8"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2376530"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2264678"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.01.016"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"3031","DOI":"10.1016\/S0031-3203(03)00157-2","article-title":"Theory analysis on FSLDA and ULDA","volume":"36","author":"yong","year":"2003","journal-title":"Pattern Recognit"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.88"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1198\/TECH.2011.08118"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8844334\/08649719.pdf?arnumber=8649719","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T12:24:30Z","timestamp":1662985470000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8649719\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":78,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2019.2893190","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10]]}}}