{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T08:59:41Z","timestamp":1762505981226},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2012,9,6]],"date-time":"2012-09-06T00:00:00Z","timestamp":1346889600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2013,11]]},"DOI":"10.1007\/s00521-012-1148-2","type":"journal-article","created":{"date-parts":[[2012,9,5]],"date-time":"2012-09-05T05:49:00Z","timestamp":1346824140000},"page":"1531-1538","source":"Crossref","is-referenced-by-count":11,"title":["Optimal gene subset selection using the modified SFFS algorithm for tumor classification"],"prefix":"10.1007","volume":"23","author":[{"given":"Hongyi","family":"Peng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinlian","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinshan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunfu","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2012,9,6]]},"reference":[{"issue":"6795","key":"1148_CR1","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1038\/35020115","volume":"406","author":"M Bittner","year":"2000","unstructured":"Bittner M, Chen Y et al (2000) Molecular classification of cutaneous malignant melanoma by gene expression profiling. Nature 406(6795):536\u2013540","journal-title":"Nature"},{"issue":"5439","key":"1148_CR2","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1126\/science.286.5439.531","volume":"286","author":"TR Golub","year":"1999","unstructured":"Golub TR, Slonim DK, Tamayo P et al (1999) Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286(5439):531\u2013537","journal-title":"Science"},{"issue":"1","key":"1148_CR3","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1038\/nm0102-68","volume":"8","author":"MA Shipp","year":"2002","unstructured":"Shipp MA, Ross KN, Tamayo P et al (2002) Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nat Med 8(1):68\u201374","journal-title":"Nat Med"},{"key":"1148_CR4","doi-asserted-by":"crossref","first-page":"6745","DOI":"10.1073\/pnas.96.12.6745","volume":"96","author":"U Alon","year":"1999","unstructured":"Alon U et al (1999) Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probes by oligonucleotide arrays. Proc Natl Acad Sci USA 96:6745\u20136750","journal-title":"Proc Natl Acad Sci USA"},{"key":"1148_CR5","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1089\/106652700750050943","volume":"7","author":"A Ben-Dor","year":"2000","unstructured":"Ben-Dor A et al (2000) Tissue classification with gene expression profiles. J Comput Biol 7:559\u2013583","journal-title":"J Comput Biol"},{"issue":"3","key":"1148_CR6","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1007\/s00521-010-0342-3","volume":"19","author":"L Nanni","year":"2010","unstructured":"Nanni L, Lumini A, Brahnam S (2010) Advanced machine learning technique for microarray spot quality classification. Neural Comput Appl 19(3):471\u2013475","journal-title":"Neural Comput Appl"},{"issue":"4","key":"1148_CR7","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1109\/TITB.2009.2018115","volume":"13","author":"CH Zheng","year":"2009","unstructured":"Zheng CH, Huang DS et al (2009) Tumor clustering using non-negative matrix factorization with gene selection. IEEE Trans Info Technol Biomed 13(4):599\u2013607","journal-title":"IEEE Trans Info Technol Biomed"},{"issue":"9","key":"1148_CR8","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1093\/bioinformatics\/17.9.763","volume":"17","author":"KY Yeung","year":"2001","unstructured":"Yeung KY, Ruzzo WL (2001) Principal component analysis for clustering gene expression data. Bioinformatics 17(9):763\u2013774","journal-title":"Bioinformatics"},{"issue":"1","key":"1148_CR9","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/34.824819","volume":"22","author":"AK Jain","year":"2000","unstructured":"Jain AK, Duin RPW, Mao J (2000) Statistical pattern recognition: a review. IEEE Trans Pattern Anal Mach Intell 22(1):4\u201337","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"457","key":"1148_CR10","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1198\/016214502753479248","volume":"97","author":"S Dudiot","year":"2002","unstructured":"Dudiot S, Fridlyand J, Speed TP (2002) Comparison of discrimination methods for the classification of tumors using gene expression data. J Am Stat Assoc 97(457):77\u201387","journal-title":"J Am Stat Assoc"},{"issue":"15","key":"1148_CR11","doi-asserted-by":"crossref","first-page":"2429","DOI":"10.1093\/bioinformatics\/bth267","volume":"20","author":"T Li","year":"2004","unstructured":"Li T, Zhang C, Ogihara M (2004) A comparative study of feature selection and multiclass methods for tissue classification based on gene expression. Bioinformatics 20(15):2429\u20132437","journal-title":"Bioinformatics"},{"key":"1148_CR12","doi-asserted-by":"crossref","first-page":"3423","DOI":"10.1093\/bioinformatics\/bth419","volume":"20","author":"K Bae","year":"2004","unstructured":"Bae K, Mallick BK (2004) Gene selection using a two-level hierarchical Bayesian model. Bioinformatics 20:3423\u20133430","journal-title":"Bioinformatics"},{"key":"1148_CR13","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1093\/bioinformatics\/19.1.90","volume":"19","author":"KE Lee","year":"2003","unstructured":"Lee KE, Sha N et al (2003) Gene selection: a Bayesian variable selection approach. Bioinformatics 19:90\u201397","journal-title":"Bioinformatics"},{"key":"1148_CR14","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1089\/1066527041410445","volume":"1","author":"W Li","year":"2004","unstructured":"Li W, Sun F, Grosse I (2004) Extreme value distribution based on gene selection criteria for discriminant microarray data analysis using logistic regression. J Comput Biol 1:215\u2013226","journal-title":"J Comput Biol"},{"key":"1148_CR15","doi-asserted-by":"crossref","first-page":"1348","DOI":"10.1093\/bioinformatics\/btg165","volume":"19","author":"S Draghici","year":"2003","unstructured":"Draghici S, Kulaeva O et al (2003) Sorin noise sample method: an ANOVA approach allowing robust selection of differentially regulated genes measured by DNA microarray. Bioinformatics 19:1348\u20131359","journal-title":"Bioinformatics"},{"key":"1148_CR16","doi-asserted-by":"crossref","first-page":"2246","DOI":"10.1093\/bioinformatics\/btg308","volume":"19","author":"SK Shevade","year":"2003","unstructured":"Shevade SK, Keerthi S (2003) A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinformatics 19:2246\u20132253","journal-title":"Bioinformatics"},{"key":"1148_CR17","unstructured":"Lagus K, Alhomiemi E et al (2005) Independent variable group analysis in learning compact representations for data. In: Honkela T, K\u00f6n\u00f6nen V, P\u00f6ll\u00e4 M, Simula O (eds) Proceedings of the international and interdisciplinary conference on adaptive knowledge representation and reasoning (AKRR\u201905). Espoo, Finland, pp 49\u201356"},{"key":"1148_CR18","unstructured":"Alhoniemi E, Honkela A et al (2006) Compact modeling of data using independent variable group analysis. Technical Report E3, Helsinki University of Technology. Publications in Computer and Information Science, Espoo, Finland"},{"key":"1148_CR19","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1007\/s00521-010-0513-2","volume":"20","author":"CH Zheng","year":"2011","unstructured":"Zheng CH, Chong YW, Wang HQ (2011) Gene selection using independent variable group analysis for tumor classification. Neural Comput Appl 20:161\u2013170","journal-title":"Neural Comput Appl"},{"issue":"9","key":"1148_CR20","doi-asserted-by":"crossref","first-page":"917","DOI":"10.1109\/TC.1977.1674939","volume":"26","author":"PM Narendra","year":"1977","unstructured":"Narendra PM, Fukunaga K (1977) A branch and bound algorithm for feature subset selection. IEEE Trans Comput 26(9):917\u2013922","journal-title":"IEEE Trans Comput"},{"key":"1148_CR21","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1109\/TIT.1963.1057810","volume":"9","author":"T Marill","year":"1963","unstructured":"Marill T, Green DM (1963) On the effectiveness of receptors in cognition systems. IEEE Trans Inf Theory 9:11\u201317","journal-title":"IEEE Trans Inf Theory"},{"issue":"9","key":"1148_CR22","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.1109\/T-C.1971.223410","volume":"20","author":"AW Whitney","year":"1971","unstructured":"Whitney AW (1971) A direct method of nonparametric measurement selection. IEEE Trans Comput 20(9):1100\u20131103","journal-title":"IEEE Trans Comput"},{"key":"1148_CR23","unstructured":"Stearns SD (1976) On selecting features for pattern classifiers. In: Proceedings of the 3rd international conference on pattern recognition, Coronado, pp 71\u201375"},{"issue":"2","key":"1148_CR24","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1109\/34.574797","volume":"19","author":"AK Jain","year":"1997","unstructured":"Jain AK, Zongker D (1997) Feature selection: evaluation, application, and small sample performance. IEEE Trans Pattern Anal Mach Intell 19(2):153\u2013158","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"11","key":"1148_CR25","doi-asserted-by":"crossref","first-page":"1119","DOI":"10.1016\/0167-8655(94)90127-9","volume":"15","author":"P Pudil","year":"1994","unstructured":"Pudil P, Novovicova J, Kittler J (1994) Floating search methods in feature selection. Pattern Recogn Lett 15(11):1119\u20131125","journal-title":"Pattern Recogn Lett"},{"key":"1148_CR26","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1038\/73432","volume":"24","author":"DT Ross","year":"2000","unstructured":"Ross DT, Scherf U et al (2000) Systematic variation in gene expression patterns in human cancer cell lines. Nat Genet 24:227\u2013234","journal-title":"Nat Genet"},{"key":"1148_CR27","volume-title":"Pattern classification and scene analysis","author":"RO Duda","year":"1973","unstructured":"Duda RO, Hart PE (1973) Pattern classification and scene analysis. Wiley, New York"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-1148-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-012-1148-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-1148-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T02:14:46Z","timestamp":1559096086000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-012-1148-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,9,6]]},"references-count":27,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2013,11]]}},"alternative-id":["1148"],"URL":"https:\/\/doi.org\/10.1007\/s00521-012-1148-2","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,9,6]]}}}