{"id":"https://openalex.org/W2066797244","doi":"https://doi.org/10.1109/scis-isis.2012.6505153","title":"A novel kernel-based gene selection and classification scheme for microarray data","display_name":"A novel kernel-based gene selection and classification scheme for microarray data","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2066797244","doi":"https://doi.org/10.1109/scis-isis.2012.6505153","mag":"2066797244"},"language":"en","primary_location":{"id":"doi:10.1109/scis-isis.2012.6505153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2012.6505153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems","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/A5100857339","display_name":"Hsiao\u2010Yun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hsiao-Yun Huang","raw_affiliation_strings":["Department of Statistics and Information Science, Fu-Jen Catholic University, New Taipei, Taiwan","[Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan, R.O.C]"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Information Science, Fu-Jen Catholic University, New Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"[Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan, R.O.C]","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004711786","display_name":"Huiyi H. Chang","orcid":"https://orcid.org/0000-0001-6439-2320"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hui-Yi Chang","raw_affiliation_strings":["Department of Statistics and Information Science, Fu-Jen Catholic University, New Taipei, Taiwan","[Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan, R.O.C]"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Information Science, Fu-Jen Catholic University, New Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"[Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan, R.O.C]","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029306409","display_name":"Jeng-Fu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jeng-Fu Liu","raw_affiliation_strings":["Department of Statistics and Information Science, Fu-Jen Catholic University, New Taipei, Taiwan","[Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan, R.O.C]"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Information Science, Fu-Jen Catholic University, New Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"[Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan, R.O.C]","institution_ids":["https://openalex.org/I114150738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100857339"],"corresponding_institution_ids":["https://openalex.org/I114150738"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09351877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"286","issue":null,"first_page":"1679","last_page":"1683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9994999766349792,"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":0.9994999766349792,"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":0.982699990272522,"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":0.9812999963760376,"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/support-vector-machine","display_name":"Support vector machine","score":0.7355729937553406},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6435515880584717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.604369044303894},{"id":"https://openalex.org/keywords/gene-selection","display_name":"Gene selection","score":0.5768234133720398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5641449093818665},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5559487342834473},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4984242916107178},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.475688099861145},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.44764870405197144},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.412861168384552},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4127499759197235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38045117259025574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24464204907417297},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.15394550561904907},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09325593709945679},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.06578683853149414},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.05546441674232483}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7355729937553406},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6435515880584717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.604369044303894},{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.5768234133720398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5641449093818665},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5559487342834473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4984242916107178},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.475688099861145},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.44764870405197144},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.412861168384552},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4127499759197235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38045117259025574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24464204907417297},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.15394550561904907},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09325593709945679},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.06578683853149414},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.05546441674232483},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scis-isis.2012.6505153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2012.6505153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1521011609","https://openalex.org/W1727290854","https://openalex.org/W2078453248","https://openalex.org/W2087684630","https://openalex.org/W2088851040","https://openalex.org/W2104269704","https://openalex.org/W2109363337","https://openalex.org/W2113160553","https://openalex.org/W2120515362","https://openalex.org/W2121418843","https://openalex.org/W2129149445","https://openalex.org/W2147246240","https://openalex.org/W2156316030","https://openalex.org/W2330820318","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W1492428813","https://openalex.org/W2089892314","https://openalex.org/W1603091392","https://openalex.org/W4386075310","https://openalex.org/W1995862559","https://openalex.org/W2095626363","https://openalex.org/W2169565408","https://openalex.org/W2127229869","https://openalex.org/W3123056048","https://openalex.org/W2129978300"],"abstract_inverted_index":{"Classification":[0],"is":[1,60,69],"one":[2],"of":[3,20,111,131],"the":[4,14,26,87,93,101,109,125,132],"most":[5,130],"important":[6],"issues":[7],"in":[8,46,86],"microarray":[9,21],"data":[10,123],"analysis.":[11],"Due":[12],"to":[13,24,115],"SSS":[15],"problem":[16],"and":[17,30,96],"other":[18,117],"properties":[19],"data,":[22],"how":[23,31],"select":[25],"differentially":[27],"expressed":[28],"genes":[29,41],"a":[32,34,48,55,64],"build":[33],"proper":[35],"classification":[36,50,56,97],"model":[37],"according":[38],"these":[39],"selected":[40],"are":[42,98,135],"two":[43],"crucial":[44],"concerns":[45],"constructing":[47],"powerful":[49],"scheme.":[51],"In":[52],"this":[53],"study,":[54],"scheme":[57],"named":[58],"SVMSC":[59,62,105],"proposed.":[61],"adopts":[63],"variable":[65],"importance":[66],"measure":[67],"that":[68,129],"directly":[70],"derived":[71],"from":[72],"RBF":[73],"kernel":[74,80,103],"function":[75,81],"for":[76],"selecting":[77],"genes.":[78],"This":[79],"will":[82],"also":[83],"be":[84],"used":[85],"following":[88],"SVM":[89],"classifier.":[90],"Since":[91],"both":[92],"gene":[94],"selection":[95],"based":[99],"on":[100],"same":[102],"function,":[104],"can":[106],"properly":[107],"express":[108],"capability":[110],"SVM.":[112],"By":[113],"comparing":[114],"several":[116,121],"popular":[118],"classifiers":[119],"with":[120,137],"different":[122],"sets,":[124],"experiment":[126],"results":[127],"showed":[128],"best":[133],"performances":[134],"associated":[136],"SVMSC.":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}