{"id":"https://openalex.org/W4285805318","doi":"https://doi.org/10.1145/3520304.3533944","title":"A genetic algorithm for classifying metagenomic data","display_name":"A genetic algorithm for classifying metagenomic data","publication_year":2022,"publication_date":"2022-07-09","ids":{"openalex":"https://openalex.org/W4285805318","doi":"https://doi.org/10.1145/3520304.3533944"},"language":"en","primary_location":{"id":"doi:10.1145/3520304.3533944","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3533944","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5088404625","display_name":"Jolanta Kawulok","orcid":"https://orcid.org/0000-0002-8321-7760"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jolanta Kawulok","raw_affiliation_strings":["Silesian University of Technology, Gliwice, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086221093","display_name":"Micha\u0142 Kawulok","orcid":"https://orcid.org/0000-0002-3669-5110"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Michal Kawulok","raw_affiliation_strings":["Silesian University of Technology, Gliwice, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10778914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9939000010490417,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9939000010490417,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9919999837875366,"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":0.9724000096321106,"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/metagenomics","display_name":"Metagenomics","score":0.7619941830635071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6383529901504517},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4368399977684021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3955668807029724},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38638490438461304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3499363660812378},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2586084008216858},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15698912739753723},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.08953657746315002},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.0676497220993042}],"concepts":[{"id":"https://openalex.org/C15151743","wikidata":"https://www.wikidata.org/wiki/Q903778","display_name":"Metagenomics","level":3,"score":0.7619941830635071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6383529901504517},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4368399977684021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3955668807029724},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38638490438461304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3499363660812378},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2586084008216858},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15698912739753723},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.08953657746315002},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0676497220993042}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3520304.3533944","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3533944","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/W1963994909","https://openalex.org/W2115587108","https://openalex.org/W2167101736","https://openalex.org/W2583363792","https://openalex.org/W2988054119","https://openalex.org/W3020766009","https://openalex.org/W3139084279"],"related_works":["https://openalex.org/W2765889516","https://openalex.org/W3107474891","https://openalex.org/W2376418607","https://openalex.org/W2415731916","https://openalex.org/W1445015017","https://openalex.org/W2920938200","https://openalex.org/W4280550577","https://openalex.org/W2898044248","https://openalex.org/W2767097019","https://openalex.org/W2348097614"],"abstract_inverted_index":{"The":[0],"goal":[1,77],"of":[2,39,78,102,133,152,174],"metagenomic":[3,161,175],"analysis":[4],"is":[5,25,52,95],"to":[6,27,54,98],"extract":[7],"relevant":[8],"information":[9],"concerning":[10],"the":[11,44,56,60,75,79,81,107,150,154,166,172,178],"organisms":[12,57],"that":[13,124,136,165],"have":[14],"left":[15],"their":[16,48],"genetic":[17,127],"traces":[18],"in":[19,59],"an":[20,112],"environmental":[21],"sample.":[22],"Each":[23],"sample":[24,83],"subject":[26],"nucleotide":[28],"sequencing,":[29],"and":[30,47,105],"obtained":[31,148],"DNA":[32],"fragments":[33],"are":[34,137],"decomposed":[35],"into":[36],"k-mers---short":[37],"sequences":[38],"k":[40],"nucleotides.":[41],"Based":[42],"on":[43,74,89],"found":[45],"k-mers":[46],"occurrence":[49],"frequencies,":[50],"it":[51],"possible":[53,103],"identify":[55],"present":[58],"sample---this":[61],"allows":[62],"for":[63,129,139,149,180],"further":[64],"analysis,":[65,80,176],"but":[66],"requires":[67],"using":[68],"large":[69,100],"taxonomic":[70,183],"datasets.":[71],"Alternatively,":[72],"depending":[73],"specific":[76],"whole":[82],"may":[84],"be":[85],"classified":[86],"directly":[87],"based":[88],"its":[90],"k-mer":[91,134],"profile.":[92],"However,":[93],"this":[94,117],"challenging":[96],"due":[97],"a":[99,121,126,131],"number":[101],"k-mers,":[104],"choosing":[106],"most":[108],"valuable":[109],"ones":[110],"remains":[111],"open":[113],"research":[114],"problem.":[115],"In":[116],"paper,":[118],"we":[119],"propose":[120],"new":[122],"technique":[123],"exploits":[125],"algorithm":[128],"selecting":[130],"subset":[132],"features":[135],"used":[138],"classification.":[140,184],"We":[141,163],"report":[142],"our":[143],"initial,":[144],"yet":[145],"promising":[146],"results":[147],"problem":[151],"detecting":[153],"type":[155],"2":[156],"diabetes":[157],"from":[158],"human":[159],"gut":[160],"samples.":[162],"expect":[164],"proposed":[167],"classification":[168],"framework":[169],"will":[170],"enhance":[171],"capabilities":[173],"without":[177],"need":[179],"performing":[181],"costly":[182]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}