{"id":"https://openalex.org/W2029506862","doi":"https://doi.org/10.1109/cec.2008.4630913","title":"Gene expression analyses using Genetic Algorithm based hybrid approaches","display_name":"Gene expression analyses using Genetic Algorithm based hybrid approaches","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2029506862","doi":"https://doi.org/10.1109/cec.2008.4630913","mag":"2029506862"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2008.4630913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4630913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Dingiun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]},{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Dingiun Chen","raw_affiliation_strings":["Department of Computer, Hong Kong Polytechnic University, Hong Kong, China","Department of Computer, University of posts and telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Computer, University of posts and telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107049960","display_name":"Keith C. C. Chan","orcid":"https://orcid.org/0000-0001-7962-6564"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Keith C. C. Chan","raw_affiliation_strings":["Department of Computer, Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]},{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK","US"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Department of Computer Science, University of Vermont, USA","Department of Computer, Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Vermont, USA","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"Department of Computer, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.11397976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"286","issue":null,"first_page":"963","last_page":"969"},"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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":0.9671000242233276,"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":0.717919111251831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6044878363609314},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5659013986587524},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5108816027641296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47828182578086853},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4414590001106262},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4372923970222473},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43702441453933716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34992659091949463},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33722037076950073}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.717919111251831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6044878363609314},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5659013986587524},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5108816027641296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47828182578086853},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4414590001106262},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4372923970222473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43702441453933716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34992659091949463},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33722037076950073},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2008.4630913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4630913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/17988","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/17988","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1966626540","https://openalex.org/W1975848684","https://openalex.org/W1978392040","https://openalex.org/W1992763738","https://openalex.org/W2087684630","https://openalex.org/W2102794349","https://openalex.org/W2108728387","https://openalex.org/W2109363337","https://openalex.org/W2112783609","https://openalex.org/W2131456395","https://openalex.org/W2138550913","https://openalex.org/W2147246240"],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2113981829"],"abstract_inverted_index":{"This":[0],"paper":[1,107],"presents":[2],"two":[3,84],"Genetic":[4],"Algorithm":[5],"(GA)":[6],"based":[7,16,32],"hybrid":[8,25,64,85],"approaches":[9,86],"for":[10,29,54,71,122],"the":[11,24,34,63,96,110],"prediction":[12,114,125],"of":[13,41],"tumor":[14,77,123],"outcomes":[15],"on":[17,33],"gene":[18,55],"expression":[19],"data.":[20],"One":[21],"approach":[22,61],"is":[23,45,62],"GA":[26,65],"and":[27,66,75,95,126],"K-medoids":[28],"grouping":[30,42],"genes":[31,43,74],"commonly":[35],"used":[36],"distance":[37],"similarity.":[38],"The":[39,58,112],"goal":[40],"here":[44],"to":[46,90,118],"choose":[47],"some":[48],"top-ranked":[49],"representatives":[50],"from":[51],"each":[52],"cluster":[53],"dimensionality":[56],"reduction.":[57],"second":[59],"proposed":[60],"Support":[67],"Vector":[68],"Machines":[69],"(SVM)":[70],"selecting":[72],"marker":[73],"classifying":[76],"types":[78],"or":[79],"predicting":[80],"treatment":[81,127],"outcomes.":[82],"These":[83],"have":[87],"been":[88],"applied":[89],"public":[91],"brain":[92],"cancer":[93],"datasets,":[94],"experimental":[97],"results":[98],"are":[99,116],"compared":[100],"with":[101],"those":[102],"given":[103],"in":[104,109],"a":[105],"2001":[106],"published":[108],"Nature.":[111],"final":[113],"accuracies":[115],"found":[117],"be":[119],"superior":[120],"both":[121],"class":[124],"outcome":[128],"prediction.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
