{"id":"https://openalex.org/W2147837043","doi":"https://doi.org/10.1109/iceei.2011.6021613","title":"Performance analysis of relief and mRMR algorithm combination for selecting features in lupus Genome-Wide Association Study","display_name":"Performance analysis of relief and mRMR algorithm combination for selecting features in lupus Genome-Wide Association Study","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2147837043","doi":"https://doi.org/10.1109/iceei.2011.6021613","mag":"2147837043"},"language":"en","primary_location":{"id":"doi:10.1109/iceei.2011.6021613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceei.2011.6021613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Electrical Engineering and Informatics","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/A5103948992","display_name":"Ivan Nugraha","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Ivan Nugraha","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038865556","display_name":"Chitra H. Ayuningtyas","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Chitra H. Ayuningtyas","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038375278","display_name":"Gusti Ayu Putri Saptawati","orcid":"https://orcid.org/0009-0006-5003-9781"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G.A. Putri Saptawati","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Jawa Barat, ID"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Jawa Barat, ID","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103948992"],"corresponding_institution_ids":["https://openalex.org/I134635517"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12772587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9911999702453613,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9911999702453613,"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/T10351","display_name":"Liver Disease Diagnosis and Treatment","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10151","display_name":"Hepatitis C virus research","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/2721","display_name":"Hepatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8085514307022095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5841398239135742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49706533551216125},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.49451944231987},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4360450506210327},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.43173977732658386},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4230438768863678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4222731292247772},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40171119570732117},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3576716184616089},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3420186936855316}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8085514307022095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5841398239135742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49706533551216125},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.49451944231987},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4360450506210327},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.43173977732658386},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4230438768863678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4222731292247772},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40171119570732117},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3576716184616089},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3420186936855316},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/iceei.2011.6021613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceei.2011.6021613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Electrical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2730426","https://openalex.org/W190437827","https://openalex.org/W1566376227","https://openalex.org/W1972096221","https://openalex.org/W1981714996","https://openalex.org/W2036469241","https://openalex.org/W2095499628","https://openalex.org/W2107820675","https://openalex.org/W2113784410","https://openalex.org/W2154053567","https://openalex.org/W2163246541","https://openalex.org/W2407559838","https://openalex.org/W6607693206","https://openalex.org/W6714453865"],"related_works":["https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W4367336074","https://openalex.org/W2955796858","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W4393666307","https://openalex.org/W3210764983","https://openalex.org/W4393443811","https://openalex.org/W4367335949"],"abstract_inverted_index":{"This":[0,103],"paper":[1],"describes":[2],"research":[3,104],"on":[4,58],"the":[5,20,31,132,137,151,168],"use":[6],"of":[7,33,66,101,108,155],"feature":[8,52,81,89,117,156,198],"selection":[9,29,53,82,90,118,157],"techniques":[10,54,83,91],"to":[11,131],"find":[12],"correlation":[13,45],"between":[14],"single-nucleotide-polymorphism":[15],"(SNP)":[16],"in":[17,23,46,70,146,174,180],"genes":[18],"with":[19,95,139,153,184],"lupus":[21,185],"disease":[22],"Genome-Wide":[24],"Association":[25],"(GWA)":[26],"study.":[27],"Feature":[28],"is":[30,63,75,143],"process":[32],"selecting":[34,178,197],"features":[35,41],"that":[36,42,167,190],"are":[37,129],"correlated":[38],"and":[39,110,126,163],"discarding":[40],"have":[43,92],"no":[44],"data":[47,86],"mining.":[48,87],"In":[49],"this":[50],"research,":[51],"will":[55],"be":[56],"applied":[57,130],"262,":[59],"264":[60],"SNPs.":[61,134],"SNP":[62,73],"a":[64,106,116],"variation":[65],"nitrogen":[67],"base":[68],"pairs":[69],"human":[71],"DNA.":[72],"number":[74],"very":[76,201],"large":[77],"so":[78],"we":[79],"needed":[80],"when":[84],"performing":[85],"Various":[88],"been":[93],"proposed":[94],"different":[96,99],"accuracy":[97],"for":[98,177,196],"types":[100],"data.":[102],"uses":[105],"combination":[107,169],"Relief":[109],"minimal-redundancy-maximal":[111],"relevance":[112],"(mRMR)":[113],"algorithms":[114],"as":[115],"method.":[119],"Classification":[120],"methods,":[121],"including":[122],"decision":[123],"tree,":[124],"SVM,":[125],"Naive":[127],"Bayes,":[128],"selected":[133],"We":[135,148,165,187],"compare":[136,150],"results":[138,152],"Chi-Squared":[140],"Test":[141],"which":[142,199],"used":[144],"commonly":[145],"GWA.":[147],"also":[149,188],"composer":[154],"algorithms:":[158],"Max-Relevance":[159],"(Mutual":[160],"Information),":[161],"Relief,":[162],"mRMR.":[164],"found":[166,189],"algorithm":[170,192],"does":[171],"not":[172],"yield":[173],"good":[175,202],"performance":[176],"SNPs":[179],"genome-wide":[181],"association":[182],"study":[183],"disease.":[186],"mRMR":[191],"gives":[193,200],"best":[194],"result":[195],"classification":[203],"accuracy.":[204]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
