{"id":"https://openalex.org/W2046559923","doi":"https://doi.org/10.2478/amcs-2014-0048","title":"Data mining methods for gene selection on the basis of gene expression arrays","display_name":"Data mining methods for gene selection on the basis of gene expression arrays","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2046559923","doi":"https://doi.org/10.2478/amcs-2014-0048","mag":"2046559923"},"language":"en","primary_location":{"id":"doi:10.2478/amcs-2014-0048","is_oa":true,"landing_page_url":"https://doi.org/10.2478/amcs-2014-0048","pdf_url":"https://sciendo.com/pdf/10.2478/amcs-2014-0048","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://sciendo.com/pdf/10.2478/amcs-2014-0048","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029912524","display_name":"Micha\u0142 Muszy\u0144ski","orcid":"https://orcid.org/0000-0002-0763-2612"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Micha\u0142 Muszy\u0144ski","raw_affiliation_strings":["Faculty of Electrical Engineering Warsaw University of Technology, pl. Politechniki 1, 00-661 Warsaw, Poland","Faculty of Electrical Engineering, Warsaw University of Technology, Pl. Politechniki 1, 00-661 Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering Warsaw University of Technology, pl. Politechniki 1, 00-661 Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Faculty of Electrical Engineering, Warsaw University of Technology, Pl. Politechniki 1, 00-661 Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009405646","display_name":"S. Osowski","orcid":"https://orcid.org/0000-0003-3194-4656"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]},{"id":"https://openalex.org/I2800249161","display_name":"Military University of Technology in Warsaw","ror":"https://ror.org/05fct5h31","country_code":"PL","type":"education","lineage":["https://openalex.org/I2800249161"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Stanis\u0142aw Osowski","raw_affiliation_strings":["Faculty of Electrical Engineering Warsaw University of Technology, pl. Politechniki 1, 00-661 Warsaw, Poland","Faculty of Electronic Engineering Military University of Technology, ul. Kaliskiego 2, 00-908 Warsaw, Poland","Faculty of Electrical Engineering, Warsaw University of Technology, pl. Politechniki 1, 00-661 Warsaw, Poland; Faculty of Electronic Engineering, Military University of Technology, ul. Kaliskiego 2, 00-908 Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering Warsaw University of Technology, pl. Politechniki 1, 00-661 Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Faculty of Electronic Engineering Military University of Technology, ul. Kaliskiego 2, 00-908 Warsaw, Poland","institution_ids":["https://openalex.org/I2800249161"]},{"raw_affiliation_string":"Faculty of Electrical Engineering, Warsaw University of Technology, pl. Politechniki 1, 00-661 Warsaw, Poland; Faculty of Electronic Engineering, Military University of Technology, ul. Kaliskiego 2, 00-908 Warsaw, Poland","institution_ids":["https://openalex.org/I2800249161","https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":4080,"currency":"PLN","value_usd":1100},"apc_paid":{"value":4080,"currency":"PLN","value_usd":1100},"fwci":0.427,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.63622098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"24","issue":"3","first_page":"657","last_page":"668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9965000152587891,"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":0.9965000152587891,"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/T10320","display_name":"Neural Networks and Applications","score":0.9768999814987183,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9248999953269958,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/gene-selection","display_name":"Gene selection","score":0.7931753993034363},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6389895081520081},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6265832781791687},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6115444302558899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5338199138641357},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5243956446647644},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.5169845819473267},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.502640962600708},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4910883903503418},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4747001528739929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4103471040725708},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3650533854961395},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.34975677728652954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3360396921634674},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3095177710056305},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.19178611040115356},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.18023553490638733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1747293770313263}],"concepts":[{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.7931753993034363},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6389895081520081},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6265832781791687},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6115444302558899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5338199138641357},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5243956446647644},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.5169845819473267},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.502640962600708},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4910883903503418},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4747001528739929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4103471040725708},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3650533854961395},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.34975677728652954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3360396921634674},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3095177710056305},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.19178611040115356},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.18023553490638733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1747293770313263},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.2478/amcs-2014-0048","is_oa":true,"landing_page_url":"https://doi.org/10.2478/amcs-2014-0048","pdf_url":"https://sciendo.com/pdf/10.2478/amcs-2014-0048","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d57680dfa90e48e68c064b8f5dcd8c84","is_oa":true,"landing_page_url":"https://doaj.org/article/d57680dfa90e48e68c064b8f5dcd8c84","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":"International Journal of Applied Mathematics and Computer Science, Vol 24, Iss 3, Pp 657-668 (2014)","raw_type":"article"},{"id":"pmh:oai:zbc.uz.zgora.pl:78978","is_oa":false,"landing_page_url":"https://zbc.uz.zgora.pl/dlibra/docmetadata?showContent=true&id=78978","pdf_url":null,"source":{"id":"https://openalex.org/S4306400400","display_name":"Digital library of Zielona Gora (University of Zielona G\u00f3ra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I46305939","host_organization_name":"University of Zielona G\u00f3ra","host_organization_lineage":["https://openalex.org/I46305939"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.amcs.uz.zgora.pl/?action=papers&issue=58","raw_type":"artyku\u0142"}],"best_oa_location":{"id":"doi:10.2478/amcs-2014-0048","is_oa":true,"landing_page_url":"https://doi.org/10.2478/amcs-2014-0048","pdf_url":"https://sciendo.com/pdf/10.2478/amcs-2014-0048","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2046559923.pdf","grobid_xml":"https://content.openalex.org/works/W2046559923.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1565377632","https://openalex.org/W1605308969","https://openalex.org/W1652158306","https://openalex.org/W1893505266","https://openalex.org/W1938740620","https://openalex.org/W1971594977","https://openalex.org/W1977500760","https://openalex.org/W1977726754","https://openalex.org/W2031909174","https://openalex.org/W2037184328","https://openalex.org/W2043409185","https://openalex.org/W2070795507","https://openalex.org/W2108728387","https://openalex.org/W2109363337","https://openalex.org/W2115694019","https://openalex.org/W2124776405","https://openalex.org/W2137476312","https://openalex.org/W2137540340","https://openalex.org/W2143426320","https://openalex.org/W2144227498","https://openalex.org/W2149775297","https://openalex.org/W2150926065","https://openalex.org/W2153635508","https://openalex.org/W2165093044","https://openalex.org/W2286426563","https://openalex.org/W2521309974","https://openalex.org/W2800394774","https://openalex.org/W2998216295","https://openalex.org/W3017143921","https://openalex.org/W3119651796","https://openalex.org/W3120421331","https://openalex.org/W3210935231","https://openalex.org/W4285719527","https://openalex.org/W4300121819","https://openalex.org/W6750489986"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W1948992892","https://openalex.org/W2104657898","https://openalex.org/W1886884218","https://openalex.org/W2804364458","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2811180790"],"abstract_inverted_index":{"Abstract":[0],"The":[1,60,114],"paper":[2],"presents":[3],"data":[4,100],"mining":[5],"methods":[6,29,67],"applied":[7],"to":[8,71,101],"gene":[9,24,31,39,93,143],"selection":[10,66,144],"for":[11],"recognition":[12,110,119],"of":[13,17,23,30,38,44,57,62,91,107,111,117,120,140],"a":[14,41],"particular":[15],"type":[16],"prostate":[18,121],"cancer":[19,122],"on":[20,54],"the":[21,34,45,55,73,79,85,98,102,105,108,112,118,128,132,137,141],"basis":[22,56],"expression":[25],"arrays.":[26],"Several":[27],"chosen":[28],"selection,":[32],"including":[33],"Fisher":[35],"method,":[36],"correlation":[37],"with":[40,84],"class,":[42],"application":[43],"support":[46,133],"vector":[47,134],"machine":[48,135],"and":[49,131],"statistical":[50],"hypotheses,":[51],"are":[52,68],"compared":[53],"clustering":[58],"measures.":[59],"results":[61,116],"applying":[63],"these":[64],"individual":[65],"combined":[69],"together":[70],"identify":[72],"most":[74],"often":[75],"selected":[76,92,129],"genes":[77,130],"forming":[78],"required":[80],"pattern,":[81],"best":[82],"associated":[83],"cancerous":[86],"cases.":[87],"This":[88],"resulting":[89],"pattern":[90],"lists":[94],"is":[95],"treated":[96],"as":[97],"input":[99],"classifier,":[103],"performing":[104],"task":[106],"final":[109],"patterns.":[113],"numerical":[115],"from":[123],"normal":[124],"(reference)":[125],"cases":[126],"using":[127],"confirm":[136],"good":[138],"performance":[139],"proposed":[142],"approach":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
