{"id":"https://openalex.org/W1605127442","doi":"https://doi.org/10.1109/ijcnn.2005.1556290","title":"Computational intelligence techniques for acute leukemia gene expression data classification","display_name":"Computational intelligence techniques for acute leukemia gene expression data classification","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1605127442","doi":"https://doi.org/10.1109/ijcnn.2005.1556290","mag":"1605127442"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556290","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5111235416","display_name":"Vassilis P. Plagianakos","orcid":"https://orcid.org/0000-0002-4266-701X"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"V.P. Plagianakos","raw_affiliation_strings":["University of Patras, Patras, GR","Dept. of Math., Patras Univ., Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras, Patras, GR","institution_ids":["https://openalex.org/I174878644"]},{"raw_affiliation_string":"Dept. of Math., Patras Univ., Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111466082","display_name":"Dimitris K. Tasoulis","orcid":null},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"D.K. Tasoulis","raw_affiliation_strings":["University of Patras, Patras, GR","Dept. of Math., Patras Univ., Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras, Patras, GR","institution_ids":["https://openalex.org/I174878644"]},{"raw_affiliation_string":"Dept. of Math., Patras Univ., Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044810424","display_name":"Michael N. Vrahatis","orcid":"https://orcid.org/0000-0001-8357-7435"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"M.N. Vrahatis","raw_affiliation_strings":["Dept. of Math., Patras Univ., Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Math., Patras Univ., Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111235416"],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.1030303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"2469","last_page":"2474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9883999824523926,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6579525470733643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563782691955566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6223495006561279},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5728987455368042},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.5561295747756958},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4810631275177002},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.46296265721321106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.462873250246048},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.45172423124313354},{"id":"https://openalex.org/keywords/acute-leukemia","display_name":"Acute leukemia","score":0.4248882532119751},{"id":"https://openalex.org/keywords/microarray","display_name":"Microarray","score":0.41969209909439087},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4134070873260498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34471118450164795},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3264806866645813},{"id":"https://openalex.org/keywords/leukemia","display_name":"Leukemia","score":0.3238692283630371},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3220157027244568},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.26692718267440796},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.17208674550056458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08265399932861328}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6579525470733643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563782691955566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6223495006561279},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5728987455368042},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.5561295747756958},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4810631275177002},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.46296265721321106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.462873250246048},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.45172423124313354},{"id":"https://openalex.org/C2776863199","wikidata":"https://www.wikidata.org/wiki/Q976388","display_name":"Acute leukemia","level":3,"score":0.4248882532119751},{"id":"https://openalex.org/C186836561","wikidata":"https://www.wikidata.org/wiki/Q1931516","display_name":"Microarray","level":4,"score":0.41969209909439087},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4134070873260498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34471118450164795},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3264806866645813},{"id":"https://openalex.org/C2778461978","wikidata":"https://www.wikidata.org/wiki/Q29496","display_name":"Leukemia","level":2,"score":0.3238692283630371},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3220157027244568},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.26692718267440796},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.17208674550056458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08265399932861328},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2005.1556290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556290","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.403.7598","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.403.7598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.math.upatras.gr/~vrahatis/papers/proceedings/PlagianakosTV05a_Proc_IEEE-IJCNN-2005_July_31-August_4_2005_Montreal_Canada_vol4_pp2469-2474_2005.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1494474274","https://openalex.org/W1536815449","https://openalex.org/W1619226191","https://openalex.org/W1885530469","https://openalex.org/W1977496278","https://openalex.org/W1977556410","https://openalex.org/W1982822209","https://openalex.org/W2033903399","https://openalex.org/W2058312826","https://openalex.org/W2060733691","https://openalex.org/W2065811242","https://openalex.org/W2087684630","https://openalex.org/W2109363337","https://openalex.org/W2113076747","https://openalex.org/W2115996640","https://openalex.org/W2125300180","https://openalex.org/W2133241531","https://openalex.org/W2135000328","https://openalex.org/W2136963423","https://openalex.org/W2141012957","https://openalex.org/W2150926065","https://openalex.org/W2167283581","https://openalex.org/W2167862746","https://openalex.org/W2170798597","https://openalex.org/W2599709636","https://openalex.org/W2904784161","https://openalex.org/W4212848460","https://openalex.org/W4237222446","https://openalex.org/W4254311734","https://openalex.org/W4254772338","https://openalex.org/W4285719527","https://openalex.org/W6632204590","https://openalex.org/W6678476907"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,20],"microarray":[3,28],"technologies":[4],"have":[5],"allowed":[6],"scientists":[7],"to":[8,33,54,93],"discover":[9],"and":[10,84],"monitor":[11],"the":[12,56,66,94,97],"mRNA":[13],"transcript":[14],"levels":[15],"of":[16,18,60,63,88,96],"thousands":[17],"genes":[19],"a":[21,31],"single":[22],"experiment.":[23],"The":[24,73],"data":[25,34],"obtained":[26],"from":[27],"studies":[29],"present":[30],"challenge":[32],"analysis.":[35],"In":[36],"this":[37,61],"paper,":[38],"we":[39],"design":[40],"an":[41],"expression-based":[42],"classification":[43,67,80],"method":[44],"for":[45],"acute":[46],"leukemia.":[47],"Different":[48],"dimension":[49],"reduction":[50],"techniques":[51],"are":[52,82],"considered":[53],"tackle":[55],"very":[57],"high":[58,79],"dimensionality":[59],"kind":[62],"data.":[64],"Subsequently,":[65],"system":[68],"employs":[69],"artificial":[70],"neural":[71,98],"networks.":[72],"comparative":[74],"results":[75],"reported,":[76],"indicate":[77],"that":[78,86,90],"rates":[81],"possible":[83],"moreover":[85],"subsets":[87],"features":[89],"contribute":[91],"significantly":[92],"success":[95],"classifiers":[99],"can":[100],"be":[101],"identified.":[102]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}