{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T16:56:28Z","timestamp":1694105788731},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"S15","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2014,12]]},"DOI":"10.1186\/1471-2105-15-s15-s2","type":"journal-article","created":{"date-parts":[[2014,12,3]],"date-time":"2014-12-03T12:03:26Z","timestamp":1417608206000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Molecular cancer classification using a meta-sample-based regularized robust coding method"],"prefix":"10.1186","volume":"15","author":[{"given":"Shu-Lin","family":"Wang","sequence":"first","affiliation":[]},{"given":"Liuchao","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Jianwen","family":"Fang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,12,3]]},"reference":[{"issue":"6","key":"6723_CR1","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1111\/j.1399-0004.2012.01865.x","volume":"81","author":"AN Desai","year":"2012","unstructured":"Desai AN, Jere A: Next-generation sequencing: ready for the clinics?. Clin Genet. 2012, 81 (6): 503-510. 10.1111\/j.1399-0004.2012.01865.x.","journal-title":"Clin Genet"},{"issue":"5439","key":"6723_CR2","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1126\/science.286.5439.531","volume":"286","author":"TR Golub","year":"1999","unstructured":"Golub TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M, Mesirov JP, Coller H, Loh ML, Downing JR, Caligiuri MA: Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science. 1999, 286 (5439): 531-537. 10.1126\/science.286.5439.531.","journal-title":"Science"},{"key":"6723_CR3","volume-title":"Bmc Bioinformatics","author":"SL Wang","year":"2013","unstructured":"Wang SL, Fang YP, Fang JW: Diagnostic prediction of complex diseases using phase-only correlation based on virtual sample template. Bmc Bioinformatics. 2013, 14:"},{"issue":"2","key":"6723_CR4","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1109\/TCBB.2011.135","volume":"9","author":"SL Wang","year":"2012","unstructured":"Wang SL, Zhu YH, Jia W, Huang DS: Robust Classification Method of Tumor Subtype by Using Correlation Filters. IEEE-Acm Transactions on Computational Biology and Bioinformatics. 2012, 9 (2): 580-591.","journal-title":"IEEE-Acm Transactions on Computational Biology and Bioinformatics"},{"issue":"2","key":"6723_CR5","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/j.compbiomed.2009.11.014","volume":"40","author":"SL Wang","year":"2010","unstructured":"Wang SL, Li XL, Zhang SW, Gui J, Huang DS: Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction. Computers in Biology and Medicine. 2010, 40 (2): 179-189. 10.1016\/j.compbiomed.2009.11.014.","journal-title":"Computers in Biology and Medicine"},{"issue":"4","key":"6723_CR6","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1109\/TITB.2009.2018115","volume":"13","author":"CH Zheng","year":"2009","unstructured":"Zheng CH, Huang DS, Zhang L, Kong XZ: Tumor clustering using nonnegative matrix factorization with gene selection. IEEE Transactions on Information Technology in Biomedicine. 2009, 13 (4): 599-607.","journal-title":"IEEE Transactions on Information Technology in Biomedicine"},{"issue":"1-3","key":"6723_CR7","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1023\/A:1012487302797","volume":"46","author":"I Guyon","year":"2002","unstructured":"Guyon I, Weston J, Vapnik V: Gene selection for cancer classification using support vector machine. Machine Learning. 2002, 46 (1-3): 389-422.","journal-title":"Machine Learning"},{"issue":"10","key":"6723_CR8","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1093\/bioinformatics\/16.10.906","volume":"16","author":"TS Furey","year":"2000","unstructured":"Furey TS, Cristianini N, Duffy N, Bednarski DW, Schummer M, Haussler D: Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics. 2000, 16 (10): 906-914. 10.1093\/bioinformatics\/16.10.906.","journal-title":"Bioinformatics"},{"issue":"12","key":"6723_CR9","first-page":"3493","volume":"62","author":"Y Xu","year":"2002","unstructured":"Xu Y, Selaru FM, Yin J, Zou TT, Shustova V, Mori Y, Sato F, Liu TC, Olaru A, Wang S: Artificial neural networks and gene filtering distinguish between global gene expression profiles of Barrett's esophagus and esophageal cancer. Cancer Research. 2002, 62 (12): 3493-3497.","journal-title":"Cancer Research"},{"issue":"19","key":"6723_CR10","doi-asserted-by":"publisher","first-page":"2507","DOI":"10.1093\/bioinformatics\/btm344","volume":"23","author":"Y Saeys","year":"2007","unstructured":"Saeys Y, Inza I, Larranaga P: A review of feature selection techniques in bioinformatics. Bioinformatics. 2007, 23 (19): 2507-2517. 10.1093\/bioinformatics\/btm344.","journal-title":"Bioinformatics"},{"key":"6723_CR11","volume-title":"Bmc Bioinformatics","author":"SL Wang","year":"2012","unstructured":"Wang SL, Li XL, Fang JW: Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification. Bmc Bioinformatics. 2012, 13:"},{"issue":"15","key":"6723_CR12","doi-asserted-by":"publisher","first-page":"1855","DOI":"10.1093\/bioinformatics\/btl190","volume":"22","author":"DS Huang","year":"2006","unstructured":"Huang DS, Zheng CH: Independent component analysis-based penalized discriminant method for tumor classification using gene expression data. Bioinformatics. 2006, 22 (15): 1855-1862. 10.1093\/bioinformatics\/btl190.","journal-title":"Bioinformatics"},{"issue":"2","key":"6723_CR13","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1142\/S0218001406004673","volume":"20","author":"CH Zheng","year":"2006","unstructured":"Zheng CH, Chen Y, Li XX, Li YX, Zhu YP: Tumor classification based on independent component analysis. International Journal of Pattern Recognition and Artificial Intelligence. 2006, 20 (2): 297-310. 10.1142\/S0218001406004673.","journal-title":"International Journal of Pattern Recognition and Artificial Intelligence"},{"key":"6723_CR14","doi-asserted-by":"publisher","first-page":"864","DOI":"10.1007\/11811305_94","volume":"4093","author":"SL Wang","year":"2006","unstructured":"Wang SL, Wang J, Chen HW, Zhang BY: SVM-based tumor classification with gene expression data. Advanced Data Mining and Applications, Proceedings. 2006, 4093: 864-870. 10.1007\/11811305_94.","journal-title":"Advanced Data Mining and Applications, Proceedings"},{"issue":"2","key":"6723_CR15","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/j.datak.2008.04.004","volume":"66","author":"A Sharma","year":"2008","unstructured":"Sharma A, Paliwal KK: Cancer classification by gradient LDA technique using microarray gene expression data. Data Knowl Eng. 2008, 66 (2): 338-347. 10.1016\/j.datak.2008.04.004.","journal-title":"Data Knowl Eng"},{"issue":"10","key":"6723_CR16","doi-asserted-by":"publisher","first-page":"802","DOI":"10.1016\/j.compbiomed.2010.08.003","volume":"40","author":"B Li","year":"2010","unstructured":"Li B, Zheng CH, Huang DS, Zhang L, Han K: Gene expression data classification using locally linear discriminant embedding. Computers in Biology and Medicine. 2010, 40 (10): 802-810. 10.1016\/j.compbiomed.2010.08.003.","journal-title":"Computers in Biology and Medicine"},{"issue":"1","key":"6723_CR17","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1093\/bioinformatics\/18.1.39","volume":"18","author":"DV Nguyen","year":"2002","unstructured":"Nguyen DV, Rocke DM: Tumor classification by partial least squares using microarray gene expression data. Bioinformatics. 2002, 18 (1): 39-50. 10.1093\/bioinformatics\/18.1.39.","journal-title":"Bioinformatics"},{"issue":"2","key":"6723_CR18","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1109\/TPAMI.2008.79","volume":"31","author":"J Wright","year":"2009","unstructured":"Wright J, Yang AY, Ganesh A, Sastry SS, Ma Y: Robust Face Recognition via Sparse Representation. Ieee Transactions on Pattern Analysis and Machine Intelligence. 2009, 31 (2): 210-227.","journal-title":"Ieee Transactions on Pattern Analysis and Machine Intelligence"},{"key":"6723_CR19","doi-asserted-by":"crossref","unstructured":"Ma P, Yang D, Ge YX, Zhang XH, Qu Y, Huang S, Lu JW: Robust face recognition via gradient-based sparse representation. J Electron Imaging. 2013, 22 (1):","DOI":"10.1117\/1.JEI.22.1.013018"},{"issue":"5","key":"6723_CR20","doi-asserted-by":"publisher","first-page":"1273","DOI":"10.1109\/TCBB.2011.20","volume":"8","author":"CH Zheng","year":"2011","unstructured":"Zheng CH, Zhang L, Ng TY, Shiu SC, Huang DS: Metasample-based sparse representation for tumor classification. IEEE\/ACM Trans Comput Biol Bioinform. 2011, 8 (5): 1273-1282.","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"key":"6723_CR21","doi-asserted-by":"publisher","first-page":"78","DOI":"10.4236\/eng.2013.55B016","volume":"5","author":"B Gan","year":"2013","unstructured":"Gan B, Zheng CH, Liu JX: Metasample-based robust sparse representation for tumor classification. Engineering. 2013, 5: 78-83.","journal-title":"Engineering"},{"key":"6723_CR22","volume-title":"J Biomed Biotechnol","author":"XY Hang","year":"2009","unstructured":"Hang XY, Wu FX: Sparse Representation for Classification of Tumors Using Gene Expression Data. J Biomed Biotechnol. 2009"},{"issue":"5","key":"6723_CR23","doi-asserted-by":"publisher","first-page":"1753","DOI":"10.1109\/TIP.2012.2235849","volume":"22","author":"M Yang","year":"2013","unstructured":"Yang M, Zhang L, Yang J, Zhang D: Regularized Robust Coding for Face Recognition. Ieee T Image Process. 2013, 22 (5): 1753-1766.","journal-title":"Ieee T Image Process"},{"issue":"1","key":"6723_CR24","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1093\/bioinformatics\/18.1.51","volume":"18","author":"W Liebermeister","year":"2002","unstructured":"Liebermeister W: Linear modes of gene expression determined by independent component analysis. Bioinformatics. 2002, 18 (1): 51-60. 10.1093\/bioinformatics\/18.1.51.","journal-title":"Bioinformatics"},{"issue":"18","key":"6723_CR25","doi-asserted-by":"publisher","first-page":"10101","DOI":"10.1073\/pnas.97.18.10101","volume":"97","author":"O Alter","year":"2000","unstructured":"Alter O, Brown PO, Botstein D: Singular value decomposition for genome-wide expression data processing and modeling. Proceedings of the National Academy of Sciences of the United States of America. 2000, 97 (18): 10101-10106. 10.1073\/pnas.97.18.10101.","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"issue":"4","key":"6723_CR26","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1007\/BF02295616","volume":"68","author":"J Ramsay","year":"2003","unstructured":"Ramsay J: The elements of statistical learning: Data mining, inference, and prediction. Psychometrika. 2003, 68 (4): 611-612. 10.1007\/BF02295616.","journal-title":"Psychometrika"},{"key":"6723_CR27","volume-title":"Convex analysis and minimization algorithms","author":"JB Hiriart-Urruty","year":"1996","unstructured":"Hiriart-Urruty JB, Lemar\u00e9chal C: Convex analysis and minimization algorithms. 1996, Berlin; New York: Springer-Verlag, 2","edition":"2"},{"issue":"1","key":"6723_CR28","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1038\/nm0102-68","volume":"8","author":"MA Shipp","year":"2002","unstructured":"Shipp MA, Ross KN, Tamayo P, Weng AP, Kutok JL, Aguiar RCT, Gaasenbeek M, Angelo M, Reich M, Pinkus GS: Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nature Medicine. 2002, 8 (1): 68-74. 10.1038\/nm0102-68.","journal-title":"Nature Medicine"},{"issue":"2","key":"6723_CR29","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/S1535-6108(02)00032-6","volume":"1","author":"RM Yeoh EJ","year":"2002","unstructured":"Yeoh EJ RM, Shurtleff SA, Williams WK, Patel D, Mahfouz R, Behm FG, Raimondi SC, Relling MV, Patel A, Cheng C, Campana D, Wilkins D, Zhou X, Li J, Liu H, Pui CH, Evans WE, Naeve C, Wong L, Downing JR: Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. Cancer Cell. 2002, 1 (2): 133-143. 10.1016\/S1535-6108(02)00032-6.","journal-title":"Cancer Cell"},{"issue":"26","key":"6723_CR30","doi-asserted-by":"publisher","first-page":"15149","DOI":"10.1073\/pnas.211566398","volume":"98","author":"S Ramaswamy","year":"2001","unstructured":"Ramaswamy S, Tamayo P, Rifkin R, Mukherjee S, Yeang CH, Angelo M, Ladd C, Reich M, Latulippe E, Mesirov JP: Multiclass cancer diagnosis using tumor gene expression signatures. Proceedings of the National Academy of Sciences of the United States of America. 2001, 98 (26): 15149-15154. 10.1073\/pnas.211566398.","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"issue":"24","key":"6723_CR31","doi-asserted-by":"publisher","first-page":"13790","DOI":"10.1073\/pnas.191502998","volume":"98","author":"A Bhattacharjee","year":"2001","unstructured":"Bhattacharjee A, Richards WG, Staunton J, Li C, Monti S, Vasa P, Ladd C, Beheshti J, Bueno R, Gillette M: Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. Proc Natl Acad Sci USA. 2001, 98 (24): 13790-13795. 10.1073\/pnas.191502998.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"1","key":"6723_CR32","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1038\/ng765","volume":"30","author":"SA Armstrong","year":"2002","unstructured":"Armstrong SA, Staunton JE, Silverman LB, Pieters R, de Boer ML, Minden MD, Sallan SE, Lander ES, Golub TR, Korsmeyer SJ: MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia. Nature Genetics. 2002, 30 (1): 41-47. 10.1038\/ng765.","journal-title":"Nature Genetics"},{"issue":"260","key":"6723_CR33","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1080\/01621459.1952.10483441","volume":"47","author":"WH Kruskal","year":"1952","unstructured":"Kruskal WH, Wallis WA: Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association. 1952, 47 (260): 583-621. 10.1080\/01621459.1952.10483441.","journal-title":"Journal of the American Statistical Association"},{"key":"6723_CR34","first-page":"171","volume-title":"European Conference on Machine Learning Springer-Verlag, Catana, Italy","author":"I Kononenko","year":"1994","unstructured":"Kononenko I: Estimating attributes: Analysis and extensions of Relief. European Conference on Machine Learning Springer-Verlag, Catana, Italy. 1994, 171-182."},{"key":"6723_CR35","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/978-3-642-14922-1_37","volume":"6215","author":"SL Wang","year":"2010","unstructured":"Wang SL, You HZ, Lei YK, Li XL: Performance Comparison of Tumor Classification Based on Linear and Non-linear Dimensionality Reduction Methods. Advanced Intelligent Computing Theories and Applications. 2010, 6215: 291-300. 10.1007\/978-3-642-14922-1_37.","journal-title":"Advanced Intelligent Computing Theories and Applications"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-15-S15-S2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,1,23]],"date-time":"2019-01-23T01:35:46Z","timestamp":1548207346000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-15-S15-S2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,12]]},"references-count":35,"journal-issue":{"issue":"S15","published-print":{"date-parts":[[2014,12]]}},"alternative-id":["6723"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-15-s15-s2","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,12]]},"assertion":[{"value":"3 December 2014","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"S2"}}