{"id":"https://openalex.org/W4323971686","doi":"https://doi.org/10.1186/s12859-023-05188-1","title":"New proposal of viral genome representation applied in the classification of SARS-CoV-2 with deep learning","display_name":"New proposal of viral genome representation applied in the classification of SARS-CoV-2 with deep learning","publication_year":2023,"publication_date":"2023-03-11","ids":{"openalex":"https://openalex.org/W4323971686","doi":"https://doi.org/10.1186/s12859-023-05188-1","pmid":"https://pubmed.ncbi.nlm.nih.gov/36906520"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-023-05188-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05188-1","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05188-1","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05188-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042085369","display_name":"Lu\u00edsa C. de Souza","orcid":"https://orcid.org/0000-0002-3707-2097"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Lu\u00edsa C. de Souza","raw_affiliation_strings":["Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065732571","display_name":"Karolayne S. Azevedo","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Karolayne S. Azevedo","raw_affiliation_strings":["Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034981855","display_name":"Jackson Gomes de Souza","orcid":"https://orcid.org/0000-0003-0665-7153"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jackson G. de Souza","raw_affiliation_strings":["Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007408877","display_name":"Raquel de Melo Barbosa","orcid":"https://orcid.org/0000-0003-3798-5512"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Raquel de M. Barbosa","raw_affiliation_strings":["Department of Pharmacy and Pharmaceutical Technology, University of Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pharmacy and Pharmaceutical Technology, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048556407","display_name":"Marcelo A. C. Fernandes","orcid":"https://orcid.org/0000-0001-7536-2506"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcelo A. C. Fernandes","raw_affiliation_strings":["Bioinformatics Multidisciplinary Environment (BioME), Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil. mfernandes@dca.ufrn.br","Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil. mfernandes@dca.ufrn.br","Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil. mfernandes@dca.ufrn.br","Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Multidisciplinary Environment (BioME), Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil. mfernandes@dca.ufrn.br","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil. mfernandes@dca.ufrn.br","institution_ids":[]},{"raw_affiliation_string":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil. mfernandes@dca.ufrn.br","institution_ids":[]},{"raw_affiliation_string":"Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal, RN, 59078-970, Brazil","institution_ids":["https://openalex.org/I35046152"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042085369"],"corresponding_institution_ids":["https://openalex.org/I35046152"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":1.7791,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84457869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"24","issue":"1","first_page":"92","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.734499990940094,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.734499990940094,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.12439999729394913,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.03629999980330467,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/context","display_name":"Context (archaeology)","score":0.7079174518585205},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6432483196258545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5816354155540466},{"id":"https://openalex.org/keywords/coronaviridae","display_name":"Coronaviridae","score":0.5698638558387756},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5487467050552368},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5194525122642517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.504555344581604},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4588194191455841},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4540156424045563},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.449175089597702},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3020566701889038},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.13503703474998474},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08449113368988037}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7079174518585205},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6432483196258545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5816354155540466},{"id":"https://openalex.org/C2776844884","wikidata":"https://www.wikidata.org/wiki/Q1134583","display_name":"Coronaviridae","level":5,"score":0.5698638558387756},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.5487467050552368},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5194525122642517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.504555344581604},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4588194191455841},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4540156424045563},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.449175089597702},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3020566701889038},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.13503703474998474},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08449113368988037},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016679","descriptor_name":"Genome, Viral","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016679","descriptor_name":"Genome, Viral","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016679","descriptor_name":"Genome, Viral","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12859-023-05188-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05188-1","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05188-1","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:36906520","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36906520","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:digibug.ugr.es:10481/81475","is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/81475","pdf_url":"https://digibug.ugr.es/bitstream/10481/81475/1/s12859-023-05188-1.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10007673","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10007673","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10007673/pdf/12859_2023_Article_5188.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:fc797125d58d40c18e0a58c4a260e090","is_oa":true,"landing_page_url":"https://doaj.org/article/fc797125d58d40c18e0a58c4a260e090","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 24, Iss 1, Pp 1-19 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-023-05188-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05188-1","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05188-1","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4323971686.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W7721663","https://openalex.org/W581255585","https://openalex.org/W806664756","https://openalex.org/W2001991765","https://openalex.org/W2024213282","https://openalex.org/W2094890728","https://openalex.org/W2129103781","https://openalex.org/W2136145671","https://openalex.org/W2163888482","https://openalex.org/W2171963266","https://openalex.org/W2343416635","https://openalex.org/W2512477880","https://openalex.org/W2596043126","https://openalex.org/W2600768097","https://openalex.org/W2605595174","https://openalex.org/W2761430568","https://openalex.org/W2901868367","https://openalex.org/W2935703330","https://openalex.org/W2949759087","https://openalex.org/W2950237782","https://openalex.org/W2958584774","https://openalex.org/W2962807110","https://openalex.org/W2963607348","https://openalex.org/W2973097270","https://openalex.org/W2973098646","https://openalex.org/W3004318991","https://openalex.org/W3011739897","https://openalex.org/W3015577748","https://openalex.org/W3015788203","https://openalex.org/W3017886147","https://openalex.org/W3019119825","https://openalex.org/W3020873385","https://openalex.org/W3021073680","https://openalex.org/W3048678497","https://openalex.org/W3094948551","https://openalex.org/W3107529852","https://openalex.org/W3120505451","https://openalex.org/W3186353921","https://openalex.org/W3194050853"],"related_works":["https://openalex.org/W3011200155","https://openalex.org/W4366983033","https://openalex.org/W2973769242","https://openalex.org/W4205647058","https://openalex.org/W2905286853","https://openalex.org/W3160595510","https://openalex.org/W1953708963","https://openalex.org/W3041043876","https://openalex.org/W3113342276","https://openalex.org/W4368368035"],"abstract_inverted_index":{"BACKGROUND:":[0],"In":[1,49],"December":[2],"2019,":[3],"the":[4,27,31,33,43,67,76,86,96,101,121,128,137,150,160],"first":[5],"case":[6],"of":[7,30,46,81,85,115,127],"COVID-19":[8],"was":[9],"described":[10],"in":[11,70,104,147],"Wuhan,":[12],"China,":[13],"and":[14,118,124,132,173],"by":[15,100],"July":[16],"2022,":[17],"there":[18],"were":[19],"already":[20],"540":[21],"million":[22],"confirmed":[23],"cases.":[24],"Due":[25],"to":[26,39,79,149],"rapid":[28],"spread":[29],"virus,":[32],"scientific":[34],"community":[35],"has":[36],"made":[37],"efforts":[38],"develop":[40],"techniques":[41,65],"for":[42,57,66,109,120,136],"viral":[44,83,110,129],"classification":[45,144],"SARS-CoV-2.":[47],"RESULTS:":[48],"this":[50,71],"context,":[51],"we":[52,74],"developed":[53],"a":[54,105,165],"new":[55],"proposal":[56],"gene":[58],"sequence":[59,97],"representation":[60,156],"with":[61,139,169],"Genomic":[62],"Signal":[63],"Processing":[64],"work":[68],"presented":[69],"paper.":[72],"First,":[73],"applied":[75],"mapping":[77,162],"approach":[78],"samples":[80],"six":[82],"species":[84],"Coronaviridae":[87],"family,":[88],"which":[89],"belongs":[90],"SARS-CoV-2":[91],"Virus.":[92],"We":[93],"then":[94],"used":[95],"downsized":[98],"obtained":[99],"method":[102],"proposed":[103,161],"deep":[106],"learning":[107],"architecture":[108],"classification,":[111],"achieving":[112],"an":[113],"accuracy":[114],"98.35%,":[116],"99.08%,":[117],"99.69%":[119],"64,":[122],"128,":[123],"256":[125],"sizes":[126],"signatures,":[130],"respectively,":[131],"obtaining":[133],"99.95%":[134],"precision":[135],"vectors":[138],"size":[140],"256.":[141],"CONCLUSIONS:":[142],"The":[143],"results":[145,151],"obtained,":[146],"comparison":[148],"produced":[152],"using":[153],"other":[154],"state-of-the-art":[155],"techniques,":[157],"demonstrate":[158],"that":[159],"can":[163],"provide":[164],"satisfactory":[166],"performance":[167],"result":[168],"low":[170],"computational":[171],"memory":[172],"processing":[174],"time":[175],"costs.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}