{"id":"https://openalex.org/W2159048517","doi":"https://doi.org/10.1109/fuzzy.2005.1452375","title":"FCM-SVM-RFE Gene Feature Selection Algorithm for Leukemia Classification from Microarray Gene Expression Data","display_name":"FCM-SVM-RFE Gene Feature Selection Algorithm for Leukemia Classification from Microarray Gene Expression Data","publication_year":2005,"publication_date":"2005-07-28","ids":{"openalex":"https://openalex.org/W2159048517","doi":"https://doi.org/10.1109/fuzzy.2005.1452375","mag":"2159048517"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2005.1452375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2005.1452375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05.","raw_type":"proceedings-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/A5102785217","display_name":"Yuchun Tang","orcid":"https://orcid.org/0000-0001-7066-8661"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuchun Tang","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612100","display_name":"Yanqing Zhang","orcid":"https://orcid.org/0000-0001-9849-8422"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan-Qing Zhang","raw_affiliation_strings":["Department of Chemistry, Georgia State University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065200215","display_name":"Zhen Huang","orcid":"https://orcid.org/0000-0002-8640-3227"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhen Huang","raw_affiliation_strings":["Department of Biology, Georgia State University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biology, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102785217"],"corresponding_institution_ids":["https://openalex.org/I181565077"],"apc_list":null,"apc_paid":null,"fwci":1.1076,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.76067735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"101"},"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9865000247955322,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9767000079154968,"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/support-vector-machine","display_name":"Support vector machine","score":0.840721845626831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6434888243675232},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6325893998146057},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6018833518028259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5741221904754639},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4940793812274933},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.4726116955280304},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4624751806259155},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4548802971839905},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4456946849822998},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44157353043556213},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4225013852119446},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.37519997358322144},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3522753417491913},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.18461570143699646},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15688112378120422},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1174955666065216}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.840721845626831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6434888243675232},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6325893998146057},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6018833518028259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5741221904754639},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4940793812274933},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.4726116955280304},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4624751806259155},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4548802971839905},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4456946849822998},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44157353043556213},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4225013852119446},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.37519997358322144},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3522753417491913},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.18461570143699646},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15688112378120422},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1174955666065216},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2005.1452375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2005.1452375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W848223689","https://openalex.org/W1980114222","https://openalex.org/W1983152740","https://openalex.org/W2023971898","https://openalex.org/W2064155333","https://openalex.org/W2087684630","https://openalex.org/W2105356769","https://openalex.org/W2109363337","https://openalex.org/W2113076747","https://openalex.org/W2114766824","https://openalex.org/W2129151899","https://openalex.org/W2137807839","https://openalex.org/W2139212933","https://openalex.org/W2141012957","https://openalex.org/W2142531636","https://openalex.org/W2143426320","https://openalex.org/W2153635508","https://openalex.org/W2159116014","https://openalex.org/W2171175638","https://openalex.org/W2544883878","https://openalex.org/W2611104316","https://openalex.org/W3120421331","https://openalex.org/W6677103964","https://openalex.org/W6685259598"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2017776670","https://openalex.org/W2952760143","https://openalex.org/W2347897961","https://openalex.org/W2979236518","https://openalex.org/W2358318464","https://openalex.org/W2340870721","https://openalex.org/W2379140333"],"abstract_inverted_index":{"Selecting":[0],"the":[1,27,65,79,97,103,107,114,153,193],"most":[2],"possibly":[3],"cancer-related":[4],"genes":[5,42,73,98,126,165],"from":[6],"huge":[7,39],"microarray":[8,136],"gene":[9,66,137],"expression":[10,138],"data":[11],"is":[12,32,91,119,130,146],"an":[13,48],"important":[14],"bioinformatics":[15],"research":[16],"topic":[17],"due":[18],"to":[19,22,46,102,111,113,151,188],"its":[20],"significance":[21],"improve":[23],"human's":[24],"understandability":[25],"of":[26,41,106,125,164,168],"inherent":[28,194],"cancer-resulting":[29,195],"mechanism.":[30],"This":[31,117],"actually":[33],"a":[34,56,86,122,170],"feature":[35,58],"selection":[36,67],"problem.":[37],"The":[38,140],"number":[40,124],"makes":[43],"it":[44],"impossible":[45],"execute":[47],"exhaustive":[49],"search.":[50],"In":[51,69],"this":[52],"work,":[53],"we":[54],"propose":[55],"recursive":[57],"elimination":[59],"(RFE)":[60],"algorithm":[61],"named":[62],"FCM-SVM-RFE":[63,129,145,158],"for":[64,186],"task.":[68],"each":[70,94,167],"step,":[71],"similar":[72],"are":[74,109,127,183],"grouped":[75],"into":[76],"clusters":[77],"by":[78],"fuzzy":[80],"C-means":[81],"clustering":[82],"algorithm,":[83],"and":[84,190],"then":[85],"support":[87],"vector":[88],"machine":[89],"(SVM)":[90],"modeled":[92],"in":[93],"cluster-induced":[95],"space,":[96],"which":[99,169],"contribute":[100],"large":[101],"margin":[104],"width":[105],"SVM":[108,171],"selected":[110],"survive":[112],"next":[115],"step.":[116],"process":[118],"repeated":[120],"until":[121],"pre-specified":[123],"selected.":[128],"compared":[131],"with":[132,172],"SVM-RFE":[133,150],"on":[134,166],"AML/ALL":[135],"data.":[139],"experimental":[141],"results":[142],"show":[143],"that":[144],"more":[147],"accurate":[148],"than":[149],"predict":[152],"unknown":[154],"samples.":[155],"More":[156],"importantly,":[157],"can":[159,176],"find":[160,192],"some":[161],"compact":[162],"subsets":[163],"perfect":[173],"prediction":[174],"accuracy":[175],"be":[177],"modeled.":[178],"These":[179],"\"most":[180],"informative":[181],"genes\"":[182],"very":[184],"helpful":[185],"biologists":[187],"efficiently":[189],"effectively":[191],"mechanism":[196]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
