{"id":"https://openalex.org/W1964354358","doi":"https://doi.org/10.1142/s0218001408006892","title":"COMBINING GENERALIZED NMF AND DISCRIMINATIVE MIXTURE MODELS FOR CLASSIFICATION OF GENE EXPRESSION DATA","display_name":"COMBINING GENERALIZED NMF AND DISCRIMINATIVE MIXTURE MODELS FOR CLASSIFICATION OF GENE EXPRESSION DATA","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W1964354358","doi":"https://doi.org/10.1142/s0218001408006892","mag":"1964354358"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001408006892","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001408006892","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101652281","display_name":"Weixiang Liu","orcid":"https://orcid.org/0000-0001-7199-4610"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"WEIXIANG LIU","raw_affiliation_strings":["Research Center of Biomedical Engineering, Life Science Division, Graduate School at Shenzhen Tsinghua University, Shenzhen 518055, P. R. China"],"affiliations":[{"raw_affiliation_string":"Research Center of Biomedical Engineering, Life Science Division, Graduate School at Shenzhen Tsinghua University, Shenzhen 518055, P. R. China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102309342","display_name":"Kehong Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"KEHONG YUAN","raw_affiliation_strings":["Research Center of Biomedical Engineering, Life Science Division, Graduate School at Shenzhen Tsinghua University, Shenzhen 518055, P. R. China"],"affiliations":[{"raw_affiliation_string":"Research Center of Biomedical Engineering, Life Science Division, Graduate School at Shenzhen Tsinghua University, Shenzhen 518055, P. R. China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460436","display_name":"Jian Wu","orcid":"https://orcid.org/0000-0003-0421-0112"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JIAN WU","raw_affiliation_strings":["Research Center of Biomedical Engineering, Life Science Division, Graduate School at Shenzhen Tsinghua University, Shenzhen 518055, P. R. China"],"affiliations":[{"raw_affiliation_string":"Research Center of Biomedical Engineering, Life Science Division, Graduate School at Shenzhen Tsinghua University, Shenzhen 518055, P. R. China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025677022","display_name":"Datian Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"DATIAN YE","raw_affiliation_strings":["Research Center of Biomedical Engineering, Life Science Division, Graduate School at Shenzhen Tsinghua University, Shenzhen 518055, P. R. China"],"affiliations":[{"raw_affiliation_string":"Research Center of Biomedical Engineering, Life Science Division, Graduate School at Shenzhen Tsinghua University, Shenzhen 518055, P. R. China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102865031","display_name":"Zhen Ji","orcid":"https://orcid.org/0000-0002-0245-1185"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZHEN JI","raw_affiliation_strings":["School of Information Engineering, Shenzhen University, Shenzhen 518060, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Shenzhen University, Shenzhen 518060, P. R. China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053298653","display_name":"Siping Chen","orcid":"https://orcid.org/0000-0001-7953-8126"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"SIPING CHEN","raw_affiliation_strings":["School of Information Engineering, Shenzhen University, Shenzhen 518060, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Shenzhen University, Shenzhen 518060, P. R. China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101652281"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.1347,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52049693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":"08","first_page":"1587","last_page":"1598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.81072998046875},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7597495913505554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6998376846313477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6901315450668335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6461586952209473},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6215285658836365},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.49214380979537964},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.46556520462036133},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.43648761510849},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4172118902206421},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3732351064682007},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3408958613872528}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.81072998046875},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7597495913505554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6998376846313477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6901315450668335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461586952209473},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6215285658836365},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.49214380979537964},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.46556520462036133},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.43648761510849},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4172118902206421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3732351064682007},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3408958613872528},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001408006892","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001408006892","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323021","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75"},{"id":"https://openalex.org/F4320324787","display_name":"Peking University","ror":"https://ror.org/02v51f717"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1902027874","https://openalex.org/W1966846766","https://openalex.org/W1981276685","https://openalex.org/W2002945904","https://openalex.org/W2003648194","https://openalex.org/W2022978200","https://openalex.org/W2026480276","https://openalex.org/W2088851040","https://openalex.org/W2092423825","https://openalex.org/W2097413644","https://openalex.org/W2103227589","https://openalex.org/W2109363337","https://openalex.org/W2115358726","https://openalex.org/W2125310307","https://openalex.org/W2136787567","https://openalex.org/W2137462201","https://openalex.org/W2157771775","https://openalex.org/W2159400887","https://openalex.org/W2488678869","https://openalex.org/W2492794003","https://openalex.org/W2999905431","https://openalex.org/W4205687621"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W2037504162","https://openalex.org/W2120164251","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W4294224199"],"abstract_inverted_index":{"Classification":[0],"of":[1,17,85,91],"gene":[2,30,67,106],"expression":[3,31,107],"samples":[4],"is":[5,63,98],"a":[6,22,37,58,95],"core":[7],"task":[8],"in":[9],"microarray":[10],"data":[11,32,69,87],"analysis.":[12],"How":[13],"to":[14,20,81],"reduce":[15],"thousands":[16],"genes":[18],"and":[19,44,52,115,127],"select":[21],"suitable":[23],"classifier":[24,45],"are":[25],"two":[26],"key":[27],"issues":[28],"for":[29,65,76,88],"classification.":[33],"This":[34],"paper":[35],"introduces":[36],"framework":[38],"on":[39,103,140],"combining":[40],"both":[41],"feature":[42],"extraction":[43],"simultaneously.":[46],"Considering":[47],"the":[48,83,92,111,124,128,141],"non-negativity,":[49],"high":[50],"dimensionality":[51],"small":[53],"sample":[54],"size,":[55],"we":[56],"apply":[57],"discriminative":[59],"mixture":[60,93],"model":[61],"which":[62],"designed":[64],"non-negative":[66,72],"express":[68],"classification":[70,112],"via":[71],"matrix":[73],"factorization":[74],"(NMF)":[75],"dimension":[77],"reduction.":[78],"In":[79],"order":[80],"enhance":[82],"sparseness":[84],"training":[86],"fast":[89],"learning":[90],"model,":[94],"generalized":[96,125],"NMF":[97],"also":[99],"adopted.":[100],"Experimental":[101],"results":[102,139],"several":[104],"real":[105],"datasets":[108],"show":[109],"that":[110],"accuracy,":[113],"stability":[114],"decision":[116],"quality":[117],"can":[118,131],"be":[119],"significantly":[120],"improved":[121],"by":[122],"using":[123],"method,":[126],"proposed":[129],"method":[130],"give":[132],"better":[133],"performance":[134],"than":[135],"some":[136],"previous":[137],"reported":[138],"same":[142],"datasets.":[143]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}