{"id":"https://openalex.org/W2309480108","doi":"https://doi.org/10.1109/tsmcc.2009.2036594","title":"Microarray Data Classifier Consisting of <i>k</i>-Top-Scoring Rank-Comparison Decision Rules With a Variable Number of Genes","display_name":"Microarray Data Classifier Consisting of <i>k</i>-Top-Scoring Rank-Comparison Decision Rules With a Variable Number of Genes","publication_year":2010,"publication_date":"2010-01-04","ids":{"openalex":"https://openalex.org/W2309480108","doi":"https://doi.org/10.1109/tsmcc.2009.2036594","mag":"2309480108"},"language":"en","primary_location":{"id":"doi:10.1109/tsmcc.2009.2036594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcc.2009.2036594","pdf_url":null,"source":{"id":"https://openalex.org/S4210227557","display_name":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","issn_l":"1094-6977","issn":["1094-6977","1558-2442"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)","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/A5016587215","display_name":"Youngmi Yoon","orcid":"https://orcid.org/0000-0002-7420-4968"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Youngmi Yoon","raw_affiliation_strings":["Department of Information Technology, Gachon University of Medicine and Science, Incheon, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Gachon University of Medicine and Science, Incheon, South Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022951161","display_name":"Sangjay Bien","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangjay Bien","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089591876","display_name":"Sang-Hyun Park","orcid":"https://orcid.org/0000-0003-2119-7845"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghyun Park","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016587215"],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":null,"apc_paid":null,"fwci":0.774,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.71955077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"40","issue":"2","first_page":"216","last_page":"226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9987000226974487,"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":0.9987000226974487,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9537000060081482,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6651195883750916},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6638162136077881},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.6118624210357666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5289844274520874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5147697925567627},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.5030810236930847},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4816835820674896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45630282163619995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4502720534801483},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35723111033439636},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.321008563041687},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.12827399373054504},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12522107362747192}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6651195883750916},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6638162136077881},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.6118624210357666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5289844274520874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5147697925567627},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.5030810236930847},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4816835820674896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45630282163619995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4502720534801483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35723111033439636},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.321008563041687},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.12827399373054504},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12522107362747192},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmcc.2009.2036594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcc.2009.2036594","pdf_url":null,"source":{"id":"https://openalex.org/S4210227557","display_name":"IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)","issn_l":"1094-6977","issn":["1094-6977","1558-2442"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W144440563","https://openalex.org/W1570448133","https://openalex.org/W1571917377","https://openalex.org/W1604792744","https://openalex.org/W1605688901","https://openalex.org/W1727290854","https://openalex.org/W1799475883","https://openalex.org/W1925571297","https://openalex.org/W1961004983","https://openalex.org/W2040814250","https://openalex.org/W2092095117","https://openalex.org/W2097839764","https://openalex.org/W2107665951","https://openalex.org/W2109502519","https://openalex.org/W2117598173","https://openalex.org/W2119479037","https://openalex.org/W2122832739","https://openalex.org/W2125055259","https://openalex.org/W2133671203","https://openalex.org/W2134932622","https://openalex.org/W2137462201","https://openalex.org/W2140190241","https://openalex.org/W2141335157","https://openalex.org/W2143426320","https://openalex.org/W2155706105","https://openalex.org/W2158001550","https://openalex.org/W2159400887","https://openalex.org/W2162184956","https://openalex.org/W2165250079","https://openalex.org/W2171528238","https://openalex.org/W2495204608","https://openalex.org/W2799796486","https://openalex.org/W2911964244","https://openalex.org/W2966207845","https://openalex.org/W4285719527","https://openalex.org/W6605866200","https://openalex.org/W6634013245","https://openalex.org/W6676444946","https://openalex.org/W6679952657","https://openalex.org/W6683942726"],"related_works":["https://openalex.org/W1964832275","https://openalex.org/W2389865566","https://openalex.org/W2407804800","https://openalex.org/W2388864896","https://openalex.org/W2888937984","https://openalex.org/W2031173026","https://openalex.org/W2117265009","https://openalex.org/W2031651184","https://openalex.org/W2913388591","https://openalex.org/W108062576"],"abstract_inverted_index":{"Microarray":[0],"experiments":[1],"generate":[2],"quantitative":[3],"expression":[4],"measurements":[5],"for":[6,14,119],"thousands":[7],"of":[8,17,37,57,62,68,86,94,108,116,123],"genes":[9,69,87,95,109],"simultaneously,":[10],"which":[11,51],"is":[12,24,157],"useful":[13],"phenotype":[15,22],"classification":[16],"many":[18],"diseases.":[19],"Our":[20,127],"proposed":[21],"classifier":[23,118],"an":[25,124],"ensemble":[26,54],"method":[27],"with":[28],"k-top-scoring":[29,58],"decision":[30,59],"rules.":[31,60],"Each":[32],"rule":[33,72,98,148],"involves":[34],"a":[35,39,46,74,77,139],"number":[36,67,85,93,107],"genes,":[38],"rank":[40],"comparison":[41],"relation":[42],"among":[43],"them,":[44],"and":[45,113],"class":[47,121],"label.":[48],"Current":[49],"classifiers,":[50],"are":[52],"also":[53],"methods,":[55],"consist":[56],"Some":[61],"these":[63],"classifiers":[64],"fix":[65],"the":[66,84,106,111,114,117,120,165],"in":[70,89,96,135],"each":[71,90,97],"as":[73],"triple":[75],"or":[76],"pair.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"generalize":[83],"involved":[88],"rule.":[91,141],"The":[92,154],"ranges":[99],"from":[100],"2":[101],"to":[102,137,164],"N,":[103],"respectively.":[104],"Generalizing":[105],"increases":[110],"robustness":[112],"reliability":[115],"prediction":[122],"independent":[125],"sample.":[126],"algorithm":[128],"saves":[129],"resources":[130],"by":[131,150,159],"combining":[132],"shorter":[133],"rules":[134],"order":[136],"build":[138],"longer":[140],"It":[142],"converges":[143],"rapidly":[144],"toward":[145],"its":[146],"high-scoring":[147],"list":[149],"implementing":[151],"several":[152],"heuristics.":[153],"parameter":[155],"k":[156],"determined":[158],"applying":[160],"leave-one-out":[161],"cross":[162],"validation":[163],"training":[166],"dataset.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
