{"id":"https://openalex.org/W3126962797","doi":"https://doi.org/10.1109/bibm49941.2020.9313559","title":"Classification of Cancer Types based on Gene Expression Data","display_name":"Classification of Cancer Types based on Gene Expression Data","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3126962797","doi":"https://doi.org/10.1109/bibm49941.2020.9313559","mag":"3126962797"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5051026427","display_name":"Yinchao He","orcid":null},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yinchao He","raw_affiliation_strings":["University of Nebraska - Lincoln,Computer Science &#x0026; Engineering,Lincoln,NE,USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska - Lincoln,Computer Science &#x0026; Engineering,Lincoln,NE,USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039909796","display_name":"Ryan Bockmon","orcid":"https://orcid.org/0000-0003-3939-7407"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Bockmon","raw_affiliation_strings":["University of Nebraska - Lincoln,Computer Science &#x0026; Engineering,Lincoln,NE,USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska - Lincoln,Computer Science &#x0026; Engineering,Lincoln,NE,USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072035743","display_name":"Miracle Modey","orcid":null},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miracle Modey","raw_affiliation_strings":["University of Nebraska - Lincoln,Computer Science &#x0026; Engineering,Lincoln,NE,USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska - Lincoln,Computer Science &#x0026; Engineering,Lincoln,NE,USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049384274","display_name":"Sarah Roscoe","orcid":"https://orcid.org/0000-0003-0372-7953"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah Roscoe","raw_affiliation_strings":["University of Nebraska - Lincoln,Computer Science &#x0026; Engineering,Lincoln,NE,USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska - Lincoln,Computer Science &#x0026; Engineering,Lincoln,NE,USA","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051026427"],"corresponding_institution_ids":["https://openalex.org/I114395901"],"apc_list":null,"apc_paid":null,"fwci":0.2814,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64435276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9958999752998352,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9890000224113464,"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/cancer","display_name":"Cancer","score":0.5513505935668945},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.5173465609550476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5117573738098145},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.49863648414611816},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4522084891796112},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.4223775863647461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3694101572036743},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.29104602336883545},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.26036009192466736}],"concepts":[{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5513505935668945},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.5173465609550476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5117573738098145},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.49863648414611816},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4522084891796112},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.4223775863647461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3694101572036743},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.29104602336883545},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.26036009192466736},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1503729935","https://openalex.org/W1714373868","https://openalex.org/W1726028772","https://openalex.org/W1826636392","https://openalex.org/W1851672339","https://openalex.org/W2004983215","https://openalex.org/W2012683659","https://openalex.org/W2040814250","https://openalex.org/W2054338284","https://openalex.org/W2064832376","https://openalex.org/W2071128523","https://openalex.org/W2072831163","https://openalex.org/W2105237766","https://openalex.org/W2108899349","https://openalex.org/W2127471293","https://openalex.org/W2158485828","https://openalex.org/W2436634098","https://openalex.org/W2589289944","https://openalex.org/W2595351638","https://openalex.org/W2891516347","https://openalex.org/W2983943172"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2021297725","https://openalex.org/W2353446510","https://openalex.org/W2385534162","https://openalex.org/W4214823340","https://openalex.org/W2803323662","https://openalex.org/W2435234983","https://openalex.org/W2035876425","https://openalex.org/W2372134750","https://openalex.org/W2123170032"],"abstract_inverted_index":{"With":[0],"the":[1,37,80,102,127,135,147],"rapid":[2],"increase":[3],"of":[4,29,40,53,109,149],"genomic":[5],"data,":[6],"analyzing":[7],"this":[8,57],"huge":[9],"bioinformatics":[10],"data":[11,85],"becomes":[12],"a":[13,143],"new":[14],"challenge.":[15],"Therefore,":[16],"computer-based":[17],"processes":[18],"and":[19,72,90,106],"algorithms":[20],"are":[21],"much":[22],"more":[23],"powerful":[24],"to":[25,47,75],"use.":[26],"For":[27],"analysis":[28,50],"across":[30],"tumor":[31],"types,":[32],"John":[33],"N":[34],"Weinstein":[35],"declares":[36],"uncertain":[38],"feasibility":[39],"applying":[41],"characterization":[42],"based":[43,78,152],"on":[44,79],"molecular":[45],"changes":[46],"complement":[48],"pathological":[49],"for":[51,56,93,146],"classification":[52,148],"cancers.":[54],"Hence,":[55],"limitation,":[58],"we":[59],"compared":[60],"four":[61],"deep":[62],"learning":[63],"methods,":[64],"K-Means,":[65],"Support":[66],"Vector":[67],"Machine,":[68],"Formal":[69,128],"Concept":[70,129],"Analysis,":[71],"Association":[73,132],"rules,":[74],"classify":[76],"cancers":[77],"gene":[81],"expression":[82],"cancer":[83,150],"RNA-Seq":[84],"set":[86],"with":[87,118,138],"801":[88],"cases":[89],"20531":[91],"genes":[92],"each":[94],"case.":[95],"The":[96,120],"results":[97],"show":[98],"that":[99],"SVM":[100],"has":[101],"highest":[103,122],"accuracy":[104,137],"(99.8%":[105],"99.2%)":[107],"out":[108],"all":[110],"our":[111],"objectives,":[112],"which":[113],"is":[114,126],"followed":[115],"by":[116],"K-Means":[117],"91.75%.":[119],"third":[121],"overall":[123],"result":[124],"(83.1%)":[125],"Analysis":[130],"algorithm.":[131],"rules":[133],"have":[134],"lowest":[136],"72.25%.":[139],"This":[140],"comparison":[141],"supplies":[142],"good":[144],"guide":[145],"types":[151],"RNA-seq.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
