{"id":"https://openalex.org/W2001577885","doi":"https://doi.org/10.1109/cec.2012.6256127","title":"Biogeography-based informative gene selection and cancer classification using SVM and Random Forests","display_name":"Biogeography-based informative gene selection and cancer classification using SVM and Random Forests","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2001577885","doi":"https://doi.org/10.1109/cec.2012.6256127","mag":"2001577885"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2012.6256127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6256127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1207.3285","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048574347","display_name":"Sarvesh Nikumbh","orcid":"https://orcid.org/0000-0003-3163-4447"},"institutions":[{"id":"https://openalex.org/I878213199","display_name":"Savitribai Phule Pune University","ror":"https://ror.org/044g6d731","country_code":"IN","type":"education","lineage":["https://openalex.org/I878213199"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sarvesh Nikumbh","raw_affiliation_strings":["Centre for Modeling and Simulation, University of Pune, Pune, India","Centre for Modeling and Simulation, University of Pune (UoP), India"],"affiliations":[{"raw_affiliation_string":"Centre for Modeling and Simulation, University of Pune, Pune, India","institution_ids":["https://openalex.org/I878213199"]},{"raw_affiliation_string":"Centre for Modeling and Simulation, University of Pune (UoP), India","institution_ids":["https://openalex.org/I878213199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104082506","display_name":"Shameek Ghosh","orcid":null},"institutions":[{"id":"https://openalex.org/I1331500379","display_name":"Centre for Development of Advanced Computing","ror":"https://ror.org/022abst40","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1331500379","https://openalex.org/I4210121746"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shameek Ghosh","raw_affiliation_strings":["Evolutionary Computing and Image Processing (ECIP), Center for Development of Advanced Computing, Pune, India","Evolutionary Computing and Image Processing (ECIP), Center for Development of Advanced Computing (C-DAC), Pune, India"],"affiliations":[{"raw_affiliation_string":"Evolutionary Computing and Image Processing (ECIP), Center for Development of Advanced Computing, Pune, India","institution_ids":["https://openalex.org/I1331500379"]},{"raw_affiliation_string":"Evolutionary Computing and Image Processing (ECIP), Center for Development of Advanced Computing (C-DAC), Pune, India","institution_ids":["https://openalex.org/I1331500379"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038912776","display_name":"Vaidyanathan Jayaraman","orcid":"https://orcid.org/0000-0003-3864-4285"},"institutions":[{"id":"https://openalex.org/I1331500379","display_name":"Centre for Development of Advanced Computing","ror":"https://ror.org/022abst40","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1331500379","https://openalex.org/I4210121746"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. K. Jayaraman","raw_affiliation_strings":["Evolutionary Computing and Image Processing (ECIP), Center for Development of Advanced Computing, Pune, India","Evolutionary Computing and Image Processing (ECIP), Center for Development of Advanced Computing (C-DAC), Pune, India"],"affiliations":[{"raw_affiliation_string":"Evolutionary Computing and Image Processing (ECIP), Center for Development of Advanced Computing, Pune, India","institution_ids":["https://openalex.org/I1331500379"]},{"raw_affiliation_string":"Evolutionary Computing and Image Processing (ECIP), Center for Development of Advanced Computing (C-DAC), Pune, India","institution_ids":["https://openalex.org/I1331500379"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048574347"],"corresponding_institution_ids":["https://openalex.org/I878213199"],"apc_list":null,"apc_paid":null,"fwci":2.2857,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.88022795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9735999703407288,"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":0.9609000086784363,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.807479739189148},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7504898905754089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5760709047317505},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.57179856300354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.537174642086029},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5272150039672852},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4906262457370758},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4772505760192871},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4764021933078766},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46337810158729553},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.45121151208877563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3935837149620056}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.807479739189148},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7504898905754089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5760709047317505},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.57179856300354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.537174642086029},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5272150039672852},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4906262457370758},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4772505760192871},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4764021933078766},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46337810158729553},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.45121151208877563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3935837149620056},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cec.2012.6256127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6256127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1207.3285","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1207.3285","pdf_url":"https://arxiv.org/pdf/1207.3285","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.746.6978","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.746.6978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1207.3285.pdf","raw_type":"text"},{"id":"pmh:oai:zenodo.org:1266061","is_oa":true,"landing_page_url":"https://zenodo.org/record/1266061","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1207.3285","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1207.3285","pdf_url":"https://arxiv.org/pdf/1207.3285","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W17054689","https://openalex.org/W299445499","https://openalex.org/W1515187072","https://openalex.org/W1573676079","https://openalex.org/W1594031697","https://openalex.org/W1595159159","https://openalex.org/W1619226191","https://openalex.org/W1963795510","https://openalex.org/W1988882382","https://openalex.org/W2013205100","https://openalex.org/W2027888113","https://openalex.org/W2030015277","https://openalex.org/W2034270258","https://openalex.org/W2087347434","https://openalex.org/W2087684630","https://openalex.org/W2108728387","https://openalex.org/W2109363337","https://openalex.org/W2109364787","https://openalex.org/W2109853461","https://openalex.org/W2111254498","https://openalex.org/W2114440072","https://openalex.org/W2125055259","https://openalex.org/W2125757918","https://openalex.org/W2131822674","https://openalex.org/W2133990480","https://openalex.org/W2139151957","https://openalex.org/W2143426320","https://openalex.org/W2153635508","https://openalex.org/W2156747531","https://openalex.org/W2167904191","https://openalex.org/W2168081761","https://openalex.org/W2168561598","https://openalex.org/W2536894909","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2963060174","https://openalex.org/W3085162807","https://openalex.org/W3120421331","https://openalex.org/W4212883601","https://openalex.org/W4292083457","https://openalex.org/W6683231803"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471"],"abstract_inverted_index":{"Microarray":[0],"cancer":[1,127],"gene":[2,45,52,105,128],"expression":[3,53,129],"data":[4,142],"comprise":[5],"of":[6,71,74,78,81,93,103,119],"very":[7],"high":[8],"dimensions.":[9],"Reducing":[10],"the":[11,16,85,94,98,110,133,140,151],"dimensions":[12],"helps":[13],"in":[14],"improving":[15],"overall":[17],"analysis":[18],"and":[19,37,83,87,114,139],"classification":[20,99,155],"performance.":[21],"We":[22],"propose":[23],"two":[24],"hybrid":[25,121],"techniques,":[26],"Biogeography":[27],"-":[28,31,35,39,112],"based":[29],"Optimization":[30],"Random":[32,115],"Forests":[33],"(BBO":[34],"RF)":[36],"BBO":[38,66],"SVM":[40,113],"(Support":[41],"Vector":[42],"Machines)":[43],"with":[44],"ranking":[46,63],"as":[47,76],"a":[48,69],"heuristic,":[49],"for":[50],"microarray":[51],"analysis.":[54],"This":[55],"heuristic":[56],"is":[57,107],"obtained":[58],"from":[59,132],"information":[60],"gain":[61],"filter":[62],"procedure.":[64],"The":[65,101,117],"algorithm":[67],"generates":[68],"population":[70,95],"candidate":[72],"subset":[73,106],"genes,":[75],"part":[77],"an":[79],"ecosystem":[80],"habitats,":[82],"employs":[84],"migration":[86],"mutation":[88],"processes":[89],"across":[90],"multiple":[91],"generations":[92],"to":[96,158],"improve":[97],"accuracy.":[100],"fitness":[102],"each":[104],"assessed":[108],"by":[109,150],"classifiers":[111],"Forests.":[116],"performances":[118],"these":[120],"techniques":[122,153],"are":[123],"evaluated":[124],"on":[125],"three":[126],"datasets":[130,137],"retrieved":[131],"Kent":[134],"Ridge":[135],"Biomedical":[136],"collection":[138],"libSVM":[141],"repository.":[143],"Our":[144],"results":[145],"demonstrate":[146],"that":[147],"genes":[148],"selected":[149],"proposed":[152],"yield":[154],"accuracies":[156],"comparable":[157],"previously":[159],"reported":[160],"algorithms.":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
