{"id":"https://openalex.org/W1664734437","doi":"https://doi.org/10.1109/ijcnn.2015.7280302","title":"An insight on complexity measures and classification in microarray data","display_name":"An insight on complexity measures and classification in microarray data","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1664734437","doi":"https://doi.org/10.1109/ijcnn.2015.7280302","mag":"1664734437"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","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/A5109887548","display_name":"Veranica Bolan-Canedo","orcid":null},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Veranica Bolan-Canedo","raw_affiliation_strings":["Department of Computer Science, University of A Coru\u00f1a, Campus de Elvi\u00f1a s/n, 15071 (Spain)"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of A Coru\u00f1a, Campus de Elvi\u00f1a s/n, 15071 (Spain)","institution_ids":["https://openalex.org/I11019714"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075460760","display_name":"Laura Mor\u00e1n\u2010Fern\u00e1ndez","orcid":"https://orcid.org/0000-0001-6703-1846"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Laura Moran-Fernandez","raw_affiliation_strings":["Department of Computer Science, University of A Coru\u00f1a Campus de Elvi\u00f1a sin, Spain","Department of Computer Science, University of A Coru\u00f1a, Campus de Elvi\u00f1a s/n, 15071 (Spain)"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of A Coru\u00f1a Campus de Elvi\u00f1a sin, Spain","institution_ids":["https://openalex.org/I11019714"]},{"raw_affiliation_string":"Department of Computer Science, University of A Coru\u00f1a, Campus de Elvi\u00f1a s/n, 15071 (Spain)","institution_ids":["https://openalex.org/I11019714"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048207145","display_name":"Amparo Alonso\u2010Betanzos","orcid":"https://orcid.org/0000-0003-0950-0012"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Amparo Alonso-Betanzos","raw_affiliation_strings":["Department of Computer Science, University of A Coru\u00f1a Campus de Elvi\u00f1a sin, Spain","Department of Computer Science, University of A Coru\u00f1a, Campus de Elvi\u00f1a s/n, 15071 (Spain)"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of A Coru\u00f1a Campus de Elvi\u00f1a sin, Spain","institution_ids":["https://openalex.org/I11019714"]},{"raw_affiliation_string":"Department of Computer Science, University of A Coru\u00f1a, Campus de Elvi\u00f1a s/n, 15071 (Spain)","institution_ids":["https://openalex.org/I11019714"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109887548"],"corresponding_institution_ids":["https://openalex.org/I11019714"],"apc_list":null,"apc_paid":null,"fwci":0.8752,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.72799198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"24","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9994000196456909,"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":0.9994000196456909,"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/T10057","display_name":"Face and Expression Recognition","score":0.9918000102043152,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7660088539123535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5479211807250977},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5447210073471069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5241130590438843},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5188801884651184},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5099245309829712},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5026068687438965},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.46223077178001404},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.45705175399780273},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4506719708442688},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4141885042190552},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41072511672973633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36205393075942993},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15694215893745422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1342332363128662}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7660088539123535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5479211807250977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5447210073471069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5241130590438843},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5188801884651184},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5099245309829712},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5026068687438965},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.46223077178001404},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.45705175399780273},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4506719708442688},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4141885042190552},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41072511672973633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36205393075942993},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15694215893745422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1342332363128662},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W4876512","https://openalex.org/W19533841","https://openalex.org/W100548424","https://openalex.org/W179179905","https://openalex.org/W608975221","https://openalex.org/W1892098373","https://openalex.org/W1983152740","https://openalex.org/W2003984511","https://openalex.org/W2028138594","https://openalex.org/W2072020668","https://openalex.org/W2099454382","https://openalex.org/W2106136950","https://openalex.org/W2109363337","https://openalex.org/W2111614606","https://openalex.org/W2119387367","https://openalex.org/W2125055259","https://openalex.org/W2125877832","https://openalex.org/W2140695136","https://openalex.org/W2142594886","https://openalex.org/W2147169507","https://openalex.org/W2148603752","https://openalex.org/W2157995198","https://openalex.org/W2159296689","https://openalex.org/W2544585169","https://openalex.org/W4206307172","https://openalex.org/W4244238212","https://openalex.org/W6607259140","https://openalex.org/W7057164922"],"related_works":["https://openalex.org/W1987895267","https://openalex.org/W2350519135","https://openalex.org/W2390619334","https://openalex.org/W2052190160","https://openalex.org/W2364238915","https://openalex.org/W2375327612","https://openalex.org/W1993278628","https://openalex.org/W2491835820","https://openalex.org/W4292003887","https://openalex.org/W2365099857"],"abstract_inverted_index":{"Microarray":[0],"data":[1,32],"classification":[2,151],"has":[3],"been":[4],"typically":[5],"seen":[6],"as":[7,37],"a":[8,115,136,142],"difficult":[9],"challenge":[10],"for":[11],"machine":[12],"learning":[13],"researchers":[14],"mainly":[15],"due":[16],"to":[17,56,133,155],"its":[18],"high":[19],"dimension":[20],"in":[21,58,129],"feature":[22],"while":[23],"sample":[24],"size":[25],"is":[26,110],"small.":[27],"However,":[28],"this":[29],"type":[30],"of":[31,63,71],"presents":[33],"other":[34],"complications":[35],"such":[36],"overlapping":[38],"between":[39,117],"classes,":[40],"dataset":[41],"shift,":[42],"class":[43],"imbalance,":[44],"non-linearity,":[45],"or":[46],"features":[47],"extracted":[48],"under":[49],"extremely":[50],"different":[51,88],"distributions.":[52],"This":[53],"paper":[54],"intends":[55],"analyze":[57],"depth":[59],"the":[60,79,118,122,130,149],"theoretical":[61],"complexity":[62,72,119],"several":[64],"popular":[65],"binary":[66],"datasets,":[67],"by":[68,83],"making":[69],"use":[70],"measures,":[73],"and":[74,97,103,121],"then":[75],"connecting":[76],"it":[77,109],"with":[78,93,135],"empirical":[80],"results":[81],"obtained":[82],"four":[84],"widely-used":[85],"classifiers.":[86],"Two":[87],"situations":[89],"are":[90],"covered:":[91],"datasets":[92,98],"only":[94],"training":[95,102],"set":[96],"originally":[99],"divided":[100],"into":[101],"test":[104,150],"sets.":[105],"In":[106],"both":[107],"cases":[108],"demonstrated":[111],"that":[112],"there":[113],"exists":[114],"correlation":[116],"measures":[120],"actual":[123],"error":[124],"rates,":[125],"which":[126],"can":[127],"facilitate":[128],"future":[131],"how":[132],"deal":[134],"given":[137],"dataset.":[138],"Finally,":[139],"we":[140],"present":[141],"case":[143],"study":[144],"on":[145],"Prostate":[146],"dataset,":[147],"improving":[148],"accuracy":[152],"from":[153],"53%":[154],"97%.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}