{"id":"https://openalex.org/W1980813742","doi":"https://doi.org/10.1109/bibm.2014.6999395","title":"Accelerating incremental wrapper based gene selection with K-Nearest-Neighbor","display_name":"Accelerating incremental wrapper based gene selection with K-Nearest-Neighbor","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1980813742","doi":"https://doi.org/10.1109/bibm.2014.6999395","mag":"1980813742"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2014.6999395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5100642885","display_name":"Aiguo Wang","orcid":"https://orcid.org/0000-0001-6150-8068"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aiguo Wang","raw_affiliation_strings":["The Gerontechnology Lab, Hefei University of Technology, Hefei, China","The Gerontechnology Lab, School of Computer and Information, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"The Gerontechnology Lab, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"The Gerontechnology Lab, School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651298","display_name":"Ning An","orcid":"https://orcid.org/0000-0003-3317-5299"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning An","raw_affiliation_strings":["The Gerontechnology Lab, Hefei University of Technology, Hefei, China","The Gerontechnology Lab, School of Computer and Information, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"The Gerontechnology Lab, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"The Gerontechnology Lab, School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100737155","display_name":"Guilin Chen","orcid":"https://orcid.org/0000-0002-8991-6431"},"institutions":[{"id":"https://openalex.org/I4210115456","display_name":"Chuzhou University","ror":"https://ror.org/037663q52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115456"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guilin Chen","raw_affiliation_strings":["School of Computer and Information Engineering, Chuzhou University, Chuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Chuzhou University, Chuzhou, China","institution_ids":["https://openalex.org/I4210115456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115601750","display_name":"Lian Li","orcid":"https://orcid.org/0000-0001-8628-4101"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Li","raw_affiliation_strings":["The Gerontechnology Lab, Hefei University of Technology, Hefei, China","The Gerontechnology Lab, School of Computer and Information, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"The Gerontechnology Lab, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"The Gerontechnology Lab, School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076921758","display_name":"Gil Alterovitz","orcid":"https://orcid.org/0000-0002-0495-7059"},"institutions":[{"id":"https://openalex.org/I4210155419","display_name":"Center for Systems Biology","ror":"https://ror.org/05r3dyn47","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210155419","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gil Alterovitz","raw_affiliation_strings":["Center for Biomedical Informatics, Harvard Medical School, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Center for Biomedical Informatics, Harvard Medical School, Boston, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210155419"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100642885"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.5577,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.65290403,"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":"21","last_page":"23"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9764999747276306,"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/gene-selection","display_name":"Gene selection","score":0.818152129650116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7341446876525879},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6417238712310791},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5808559656143188},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5636202692985535},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5561816096305847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4977629482746124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4692922532558441},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.42071184515953064},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.41786548495292664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33547693490982056},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.24591386318206787},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.22082972526550293},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.11695295572280884},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06530556082725525}],"concepts":[{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.818152129650116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7341446876525879},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6417238712310791},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5808559656143188},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5636202692985535},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5561816096305847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4977629482746124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4692922532558441},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42071184515953064},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.41786548495292664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33547693490982056},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.24591386318206787},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.22082972526550293},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.11695295572280884},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06530556082725525},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2014.6999395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W82982097","https://openalex.org/W1500895378","https://openalex.org/W2143347324","https://openalex.org/W2143426320","https://openalex.org/W2169038408","https://openalex.org/W4285719527","https://openalex.org/W6603433622"],"related_works":["https://openalex.org/W2785302227","https://openalex.org/W2415545834","https://openalex.org/W2069695727","https://openalex.org/W2023474976","https://openalex.org/W2150084125","https://openalex.org/W2118505788","https://openalex.org/W1802639773","https://openalex.org/W2380784125","https://openalex.org/W1995862559","https://openalex.org/W2155345760"],"abstract_inverted_index":{"Wrapper":[0],"based":[1,53,102],"gene":[2,38,54,83,103,141],"selection":[3,55,84,104,142],"methods":[4],"tend":[5],"to":[6,35,46,79,95,109],"obtain":[7],"better":[8,36],"classification":[9,147],"accuracy":[10,28],"than":[11],"filter":[12],"methods,":[13],"while":[14],"it":[15],"is":[16,29],"much":[17],"more":[18],"time":[19,49,115,121],"consuming.":[20],"Accelerating":[21],"this":[22,42],"process":[23,143],"without":[24,144],"degrading":[25,145],"the":[26,48,82,97,111,120,135,140,146],"high":[27],"of":[30,51,63,99],"great":[31],"value":[32],"for":[33],"researchers":[34],"analyze":[37],"expression":[39],"profiles.":[40],"In":[41],"paper,":[43],"we":[44,70,118],"explore":[45],"reduce":[47],"complexity":[50,122],"wrapper":[52,101],"method":[56,105],"with":[57,106],"K-Nearest-Neighbor":[58],"(KNN)":[59],"classifier":[60,76],"embedded.":[61],"Instead":[62],"taking":[64],"KNN":[65],"as":[66],"a":[67,75],"black":[68],"box,":[69],"incrementally":[71],"construct":[72],"and":[73,123,130],"maintain":[74],"distance":[77],"matrix":[78],"speed":[80],"up":[81],"process.":[85],"Experiments":[86],"on":[87],"six":[88],"publicly":[89],"available":[90],"microarrays":[91],"were":[92],"first":[93],"conducted":[94],"show":[96],"effectiveness":[98],"incremental":[100],"KNN.":[107],"Then,":[108],"demonstrate":[110],"performance":[112],"gain":[113],"in":[114],"cost":[116],"reduction,":[117],"analyzed":[119],"experimentally":[124],"evaluated":[125],"it.":[126],"Both":[127],"theoretical":[128],"analysis":[129],"experimental":[131],"results":[132],"prove":[133],"that":[134],"proposed":[136],"approach":[137],"greatly":[138],"accelerates":[139],"accuracy.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
