{"id":"https://openalex.org/W3212684988","doi":"https://doi.org/10.1093/bib/bbab434","title":"MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors","display_name":"MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors","publication_year":2021,"publication_date":"2021-10-06","ids":{"openalex":"https://openalex.org/W3212684988","doi":"https://doi.org/10.1093/bib/bbab434","mag":"3212684988","pmid":"https://pubmed.ncbi.nlm.nih.gov/34750626"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbab434","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbab434","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1093/bib/bbab434","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076993536","display_name":"Robson Parmezan Bonidia","orcid":"https://orcid.org/0000-0003-4975-7867"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Robson P Bonidia","raw_affiliation_strings":["Institute of Mathematics and Computer Sciences, University of S\u00e3o Paulo, S\u00e3o Carlos 13566-590, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Sciences, University of S\u00e3o Paulo, S\u00e3o Carlos 13566-590, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088024942","display_name":"Douglas Silva Domingues","orcid":"https://orcid.org/0000-0002-1290-0853"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Douglas S Domingues","raw_affiliation_strings":["Group of Genomics and Transcriptomes in Plants, Institute of Biosciences, S\u00e3o Paulo State University (UNESP), Rio Claro 13506-900, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Group of Genomics and Transcriptomes in Plants, Institute of Biosciences, S\u00e3o Paulo State University (UNESP), Rio Claro 13506-900, Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088676977","display_name":"Danilo Sipoli Sanches","orcid":"https://orcid.org/0000-0002-8972-5221"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Danilo S Sanches","raw_affiliation_strings":["Department of Computer Science, Federal University of Technology - Paran\u00e1, UTFPR, Corn\u00e9lio Proc\u00f3pio 86300-000, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Federal University of Technology - Paran\u00e1, UTFPR, Corn\u00e9lio Proc\u00f3pio 86300-000, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079499583","display_name":"Andr\u00e9 C. P. L. F. de Carvalho","orcid":"https://orcid.org/0000-0002-4765-6459"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 C P L F de Carvalho","raw_affiliation_strings":["Institute of Mathematics and Computer Sciences, University of S\u00e3o Paulo, S\u00e3o Carlos 13566-590, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Sciences, University of S\u00e3o Paulo, S\u00e3o Carlos 13566-590, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076993536"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":4.5945,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.96233741,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"23","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9993000030517578,"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":0.9993000030517578,"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":0.998199999332428,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9944999814033508,"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/computer-science","display_name":"Computer science","score":0.721085786819458},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6351804733276367},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6065585017204285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5065926313400269},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4805191457271576},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4773438274860382},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4762333035469055},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.47549188137054443},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43940529227256775},{"id":"https://openalex.org/keywords/biological-data","display_name":"Biological data","score":0.41679781675338745},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35340598225593567},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.15976914763450623}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721085786819458},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6351804733276367},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6065585017204285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5065926313400269},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4805191457271576},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4773438274860382},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4762333035469055},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.47549188137054443},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43940529227256775},{"id":"https://openalex.org/C201797286","wikidata":"https://www.wikidata.org/wiki/Q4914986","display_name":"Biological data","level":2,"score":0.41679781675338745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35340598225593567},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.15976914763450623},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000595","descriptor_name":"Amino Acid Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1093/bib/bbab434","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbab434","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:34750626","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34750626","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":"Briefings in bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8769707","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8769707","pdf_url":null,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Brief Bioinform","raw_type":"Text"},{"id":"pmh:oai:repositorio.unesp.br:11449/223373","is_oa":true,"landing_page_url":"http://hdl.handle.net/11449/223373","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"instacron:UNESP","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1093/bib/bbab434","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbab434","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G5990746028","display_name":null,"funder_award_id":"2013/07375-0","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":97,"referenced_works":["https://openalex.org/W7721663","https://openalex.org/W652664929","https://openalex.org/W1494484168","https://openalex.org/W1537641994","https://openalex.org/W1789911598","https://openalex.org/W1922017469","https://openalex.org/W1995168985","https://openalex.org/W1997730991","https://openalex.org/W1998422171","https://openalex.org/W2000141067","https://openalex.org/W2001416495","https://openalex.org/W2004132756","https://openalex.org/W2006898727","https://openalex.org/W2011480164","https://openalex.org/W2014933335","https://openalex.org/W2024213282","https://openalex.org/W2025282821","https://openalex.org/W2034070267","https://openalex.org/W2038681300","https://openalex.org/W2048194168","https://openalex.org/W2061548680","https://openalex.org/W2075320162","https://openalex.org/W2082599328","https://openalex.org/W2089852843","https://openalex.org/W2098475202","https://openalex.org/W2106474670","https://openalex.org/W2111823238","https://openalex.org/W2123525093","https://openalex.org/W2129103781","https://openalex.org/W2131871423","https://openalex.org/W2132247880","https://openalex.org/W2134065368","https://openalex.org/W2152800101","https://openalex.org/W2152820917","https://openalex.org/W2160257187","https://openalex.org/W2162494776","https://openalex.org/W2171464043","https://openalex.org/W2252523470","https://openalex.org/W2268267797","https://openalex.org/W2311607323","https://openalex.org/W2340970647","https://openalex.org/W2512477880","https://openalex.org/W2559258718","https://openalex.org/W2587688848","https://openalex.org/W2595953311","https://openalex.org/W2600768097","https://openalex.org/W2615786037","https://openalex.org/W2780936345","https://openalex.org/W2792246829","https://openalex.org/W2793168264","https://openalex.org/W2794498378","https://openalex.org/W2805813857","https://openalex.org/W2806980026","https://openalex.org/W2807607992","https://openalex.org/W2886900083","https://openalex.org/W2888316782","https://openalex.org/W2921372942","https://openalex.org/W2922701384","https://openalex.org/W2925503468","https://openalex.org/W2947626248","https://openalex.org/W2952136406","https://openalex.org/W2967960129","https://openalex.org/W2969086705","https://openalex.org/W2971440391","https://openalex.org/W2972223935","https://openalex.org/W2981813980","https://openalex.org/W2998913411","https://openalex.org/W3001282080","https://openalex.org/W3003285614","https://openalex.org/W3004263072","https://openalex.org/W3019119825","https://openalex.org/W3035978132","https://openalex.org/W3042211652","https://openalex.org/W3048678497","https://openalex.org/W3048869844","https://openalex.org/W3081166989","https://openalex.org/W3091616824","https://openalex.org/W3108295356","https://openalex.org/W3118460357","https://openalex.org/W3122216490","https://openalex.org/W3130238914","https://openalex.org/W3131672097","https://openalex.org/W3134163647","https://openalex.org/W3137510455","https://openalex.org/W3158475318","https://openalex.org/W3158612873","https://openalex.org/W3160510922","https://openalex.org/W4244237911","https://openalex.org/W4249920046","https://openalex.org/W6600307240","https://openalex.org/W6649876893","https://openalex.org/W6698064614","https://openalex.org/W6749494330","https://openalex.org/W6751404148","https://openalex.org/W6753863149","https://openalex.org/W6787056383","https://openalex.org/W6794240515"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W2086519370","https://openalex.org/W2028665553","https://openalex.org/W2087343574","https://openalex.org/W2535915176","https://openalex.org/W2105860728","https://openalex.org/W1996690921"],"abstract_inverted_index":{"One":[0],"of":[1,30,45,84,91,128,199],"the":[2,41,88,107,126,132,159,181,195,200,207],"main":[3],"challenges":[4],"in":[5,21,40,51,106,151,180,190,206,214],"applying":[6,170],"machine":[7],"learning":[8],"algorithms":[9],"to":[10,16,70,143,156,222],"biological":[11,35,76],"sequence":[12,20,90],"data":[13],"is":[14],"how":[15],"numerically":[17],"represent":[18],"a":[19,22,61],"numeric":[23,111],"input":[24],"vector.":[25],"Feature":[26],"extraction":[27,100,127,225],"techniques":[28,47],"capable":[29],"extracting":[31],"numerical":[32,73,98],"information":[33,74],"from":[34,75],"sequences":[36],"have":[37],"been":[38],"reported":[39],"literature.":[42,182],"However,":[43],"many":[44],"these":[46,157],"are":[48,140,149],"not":[49,212],"available":[50,96,213],"existing":[52,133],"packages,":[53,216],"such":[54],"as":[55,217,219],"mathematical":[56,67,172],"descriptors.":[57],"This":[58],"paper":[59],"presents":[60],"new":[62],"package,":[63],"MathFeature,":[64,185],"which":[65],"implements":[66],"descriptors":[68,101,139,179,211],"able":[69],"extract":[71],"relevant":[72],"sequences,":[77],"i.e.":[78],"DNA,":[79],"RNA":[80],"and":[81,120,142,197],"proteins":[82],"(prediction":[83],"structural":[85],"features":[86,160],"along":[87],"primary":[89],"amino":[92],"acids).":[93],"MathFeature":[94,123,163,203],"makes":[95],"20":[97],"feature":[99,224],"based":[102],"on":[103],"approaches":[104],"found":[105],"literature,":[108],"e.g.":[109],"multiple":[110],"mappings,":[112],"genomic":[113],"signal":[114],"processing,":[115],"chaos":[116],"game":[117],"theory,":[118],"entropy":[119],"complex":[121],"networks.":[122],"also":[124,175],"allows":[125],"alternative":[129],"features,":[130],"complementing":[131],"packages.":[134],"To":[135],"ensure":[136],"that":[137],"our":[138],"robust":[141],"assess":[144],"their":[145],"relevance,":[146],"experimental":[147],"results":[148],"presented":[150],"nine":[152],"case":[153],"studies.":[154],"According":[155],"results,":[158],"extracted":[161],"by":[162,209],"showed":[164],"high":[165],"performance":[166],"(0.6350-0.9897,":[167],"accuracy),":[168],"both":[169],"only":[171],"descriptors,":[173],"but":[174],"hybridization":[176],"with":[177],"well-known":[178],"Finally,":[183],"through":[184],"we":[186],"overcame":[187],"several":[188],"studies":[189],"eight":[191],"benchmark":[192],"datasets,":[193],"exemplifying":[194],"robustness":[196],"viability":[198],"proposed":[201],"package.":[202],"has":[204],"advanced":[205],"area":[208],"bringing":[210],"other":[215],"well":[218],"allowing":[220],"non-experts":[221],"use":[223],"techniques.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":13}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}