{"id":"https://openalex.org/W2911592538","doi":"https://doi.org/10.1109/bibm.2018.8621108","title":"Deep Learning-based Identification of Cancer or Normal Tissue using Gene Expression Data","display_name":"Deep Learning-based Identification of Cancer or Normal Tissue using Gene Expression Data","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2911592538","doi":"https://doi.org/10.1109/bibm.2018.8621108","mag":"2911592538"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009861775","display_name":"TaeJin Ahn","orcid":"https://orcid.org/0000-0001-5165-2744"},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"TaeJin Ahn","raw_affiliation_strings":["Department of Life Science, Handong Global University, Pohang, Repubic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Life Science, Handong Global University, Pohang, Repubic of Korea","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082932776","display_name":"Taewan Goo","orcid":"https://orcid.org/0000-0001-9427-2290"},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taewan Goo","raw_affiliation_strings":["Department of Life Science, Handong Global University, Pohang, Repubic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Life Science, Handong Global University, Pohang, Repubic of Korea","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673636","display_name":"Chanhee Lee","orcid":"https://orcid.org/0000-0001-9643-7159"},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chan-hee Lee","raw_affiliation_strings":["Department of Life Science, Handong Global University, Pohang, Repubic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Life Science, Handong Global University, Pohang, Repubic of Korea","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459308","display_name":"Sung Min Kim","orcid":"https://orcid.org/0000-0002-3249-9075"},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"SungMin Kim","raw_affiliation_strings":["Department of Life Science, Handong Global University, Pohang, Repubic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Life Science, Handong Global University, Pohang, Repubic of Korea","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025517544","display_name":"Kyulhee Han","orcid":"https://orcid.org/0000-0002-7243-5711"},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyullhee Han","raw_affiliation_strings":["Department of Life Science, Handong Global University, Pohang, Repubic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Life Science, Handong Global University, Pohang, Repubic of Korea","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013903693","display_name":"Sangick Park","orcid":"https://orcid.org/0000-0003-0395-2755"},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangick Park","raw_affiliation_strings":["Department of Life Science, Handong Global University, Pohang, Repubic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Life Science, Handong Global University, Pohang, Repubic of Korea","institution_ids":["https://openalex.org/I113825674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643662","display_name":"Taesung Park","orcid":"https://orcid.org/0000-0002-8294-590X"},"institutions":[{"id":"https://openalex.org/I113825674","display_name":"Handong Global University","ror":"https://ror.org/00txhkt32","country_code":"KR","type":"education","lineage":["https://openalex.org/I113825674"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taesung Park","raw_affiliation_strings":["Department of Life Science, Handong Global University, Pohang, Repubic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Life Science, Handong Global University, Pohang, Repubic of Korea","institution_ids":["https://openalex.org/I113825674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113825674"],"apc_list":null,"apc_paid":null,"fwci":15.0305,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.99248705,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1748","last_page":"1752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9977999925613403,"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":0.9977999925613403,"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/T10862","display_name":"AI in cancer detection","score":0.9927999973297119,"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/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.9922999739646912,"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/identification","display_name":"Identification (biology)","score":0.7162042260169983},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5654554963111877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5466948747634888},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.527877926826477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5249402523040771},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5022051334381104},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.4457825720310211},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4259936809539795},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42565208673477173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3284061551094055},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.285467267036438},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.26614806056022644}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7162042260169983},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5654554963111877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5466948747634888},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.527877926826477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5249402523040771},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5022051334381104},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.4457825720310211},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4259936809539795},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42565208673477173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3284061551094055},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.285467267036438},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.26614806056022644},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm.2018.8621108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:s-space.snu.ac.kr:10371/187016","is_oa":false,"landing_page_url":"https://hdl.handle.net/10371/187016","pdf_url":null,"source":{"id":"https://openalex.org/S4306401345","display_name":"Seoul National University Open Repository (Seoul National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139264467","host_organization_name":"Seoul National University","host_organization_lineage":["https://openalex.org/I139264467"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1533942137","https://openalex.org/W1543960810","https://openalex.org/W2020541351","https://openalex.org/W2096766502","https://openalex.org/W2103894337","https://openalex.org/W2124140824","https://openalex.org/W2138550913","https://openalex.org/W2158485828","https://openalex.org/W2160981405","https://openalex.org/W2329659234","https://openalex.org/W2399240576","https://openalex.org/W2402144811","https://openalex.org/W2555803041","https://openalex.org/W2561981131","https://openalex.org/W2563131459","https://openalex.org/W2597547515","https://openalex.org/W2657631929","https://openalex.org/W2919115771","https://openalex.org/W2951209146","https://openalex.org/W2953384591","https://openalex.org/W4238492599","https://openalex.org/W6713134421","https://openalex.org/W6730101001"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W2392243736","https://openalex.org/W86652014","https://openalex.org/W2898732673","https://openalex.org/W4383066092"],"abstract_inverted_index":{"Background:":[0],"Deep":[1],"learning":[2,29,277],"has":[3],"proven":[4],"to":[5,46,50,56,111,143,153,158,246,291],"show":[6],"outstanding":[7],"performance":[8,221],"in":[9,133,161,180,279],"resolving":[10],"recognition":[11],"and":[12,20,62,85,93,115,123,131,173,214],"classification":[13],"problems.":[14],"As":[15],"increasing":[16],"amounts":[17],"of":[18,35,178,185,307],"cancer":[19,61,92,114,129,135,160,172,250,293,308],"normal":[21,63,95,116,174],"gene":[22,96,120,295],"expression":[23,97,296],"data":[24,65,98,175,183,297],"become":[25,31],"publicly":[26],"available,":[27],"deep":[28,107,146,276],"may":[30],"an":[32,162,247],"integral":[33],"component":[34],"efficiently":[36],"finding":[37],"specific":[38],"patterns":[39],"within":[40],"massive":[41],"datasets.":[42],"Thus,":[43],"we":[44,236],"aim":[45],"address":[47],"the":[48,52,67,106,151,181,193,204,211,229,253,304],"extent":[49],"which":[51],"machine":[53,232],"can":[54,241,299],"learn":[55],"recognize":[57],"cancer.":[58],"We":[59,103,137,149],"integrated":[60],"tissue":[64],"from":[66,99,127,252,294],"Gene":[68,74],"Expression":[69,87],"Omnibus":[70],"(GEO),":[71],"The":[72,166],"Cancer":[73],"Atlas":[75],"(TCGA),":[76],"Therapeutically":[77],"Applicable":[78],"Research":[79],"To":[80],"Generate":[81],"Effective":[82],"Treatments":[83],"(TARGET),":[84],"Genotype-Tissue":[86],"(GTEx)":[88],"databases,":[89],"including":[90],"13,406":[91],"12,842":[94],"24":[100],"different":[101],"tissues.":[102],"first":[104],"trained":[105,145,168,254],"neural":[108,147],"network":[109],"(DNN)":[110],"discriminate":[112],"between":[113],"samples":[117,259,269],"using":[118],"various":[119],"selection":[121],"strategies":[122],"therapeutic":[124],"target":[125],"genes":[126,132,155,266],"commercial":[128],"panels":[130],"NCI-curated":[134],"pathways.":[136],"also":[138,300],"suggest":[139],"systemic":[140],"analyzation":[141],"method":[142,152,239,257,284],"interpret":[144],"network.":[148],"applied":[150],"find":[154],"mostly":[156],"contribute":[157,301],"classify":[159,171],"individual":[163,248],"sample.":[164],"Result:":[165],"best":[167],"DNN":[169,205,218],"could":[170],"with":[176,281],"accuracy":[177],"0.997":[179],"training":[182,213],"set":[184,196],"13,123":[186],"(cancer:":[187,199],"6,703,":[188,200],"normal:":[189,201],"6,402)":[190],"samples.":[191],"In":[192],"independent":[194],"test":[195,215],"comprising":[197],"13,125":[198],"6,422)":[202],"samples,":[203],"model":[206],"achieved":[207],"0.979":[208],"accuracy.":[209],"Using":[210],"same":[212],"data,":[216],"our":[217,282],"showed":[219],"better":[220],"than":[222],"other":[223],"conventional":[224],"prediction":[225],"methods,":[226],"followed":[227],"by":[228],"support":[230],"vector":[231],"approach.":[233],"For":[234],"interpretation,":[235],"propose":[237],"a":[238,243,264,288],"that":[240],"extract":[242],"gene's":[244],"contribution":[245],"sample's":[249],"probability":[251],"DNN.":[255],"This":[256],"distinguished":[258],"dependent":[260],"on":[261,310],"one":[262],"or":[263],"few":[265],"suggesting":[267],"these":[268],"are":[270],"possibly":[271],"\u201concogene":[272],"addicted\u201d.":[273],"Conclusion:":[274],"A":[275],"approach":[278],"conjunction":[280],"interpretation":[283],"is":[285],"not":[286],"only":[287],"useful":[289],"tool":[290],"identify":[292],"but":[298],"toward":[302],"understanding":[303],"complex":[305],"nature":[306],"based":[309],"large":[311],"public":[312],"data.":[313]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
