{"id":"https://openalex.org/W2972272278","doi":"https://doi.org/10.1080/24751839.2019.1660845","title":"Novel hybrid DCNN\u2013SVM model for classifying RNA-sequencing gene expression data","display_name":"Novel hybrid DCNN\u2013SVM model for classifying RNA-sequencing gene expression data","publication_year":2019,"publication_date":"2019-09-05","ids":{"openalex":"https://openalex.org/W2972272278","doi":"https://doi.org/10.1080/24751839.2019.1660845","mag":"2972272278"},"language":"en","primary_location":{"id":"doi:10.1080/24751839.2019.1660845","is_oa":true,"landing_page_url":"https://doi.org/10.1080/24751839.2019.1660845","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/24751839.2019.1660845?needAccess=true","source":{"id":"https://openalex.org/S4210226961","display_name":"Journal of Information and Telecommunication","issn_l":"2475-1839","issn":["2475-1839","2475-1847"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information and Telecommunication","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/24751839.2019.1660845?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011522380","display_name":"Phuoc-Hai Huynh","orcid":"https://orcid.org/0000-0001-8348-9267"},"institutions":[{"id":"https://openalex.org/I49382586","display_name":"An Giang University","ror":"https://ror.org/023pm6532","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I49382586"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Phuoc-Hai Huynh","raw_affiliation_strings":["Information Technology Faculty, An Giang University, An Giang, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-8348-9267","affiliations":[{"raw_affiliation_string":"Information Technology Faculty, An Giang University, An Giang, Vietnam","institution_ids":["https://openalex.org/I49382586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101637382","display_name":"Van Hoa Nguyen","orcid":"https://orcid.org/0000-0003-0582-2129"},"institutions":[{"id":"https://openalex.org/I49382586","display_name":"An Giang University","ror":"https://ror.org/023pm6532","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I49382586"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Van-Hoa Nguyen","raw_affiliation_strings":["Information Technology Faculty, An Giang University, An Giang, Vietnam"],"raw_orcid":"https://orcid.org/0000-0003-0582-2129","affiliations":[{"raw_affiliation_string":"Information Technology Faculty, An Giang University, An Giang, Vietnam","institution_ids":["https://openalex.org/I49382586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020518940","display_name":"Thanh\u2010Nghi Do","orcid":"https://orcid.org/0000-0002-9328-3358"},"institutions":[{"id":"https://openalex.org/I177733328","display_name":"Can Tho University","ror":"https://ror.org/0071qz696","country_code":"VN","type":"education","lineage":["https://openalex.org/I177733328"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210153851","display_name":"Unit\u00e9 de Mod\u00e9lisation Math\u00e9matique et Informatique des Syst\u00e8mes Complexes","ror":"https://ror.org/053kxkj53","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1327553481","https://openalex.org/I154202486","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I39804081","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210113730","https://openalex.org/I4210131494","https://openalex.org/I4210153851","https://openalex.org/I4210166444","https://openalex.org/I4405257220"]},{"id":"https://openalex.org/I4210166444","display_name":"Institut de Recherche pour le D\u00e9veloppement","ror":"https://ror.org/05q3vnk25","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1327553481","https://openalex.org/I154202486","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210113730","https://openalex.org/I4210131494","https://openalex.org/I4210166444","https://openalex.org/I4405257220"]}],"countries":["FR","VN"],"is_corresponding":false,"raw_author_name":"Thanh-Nghi Do","raw_affiliation_strings":["College of Information Technology, Can Tho University, Can Tho, Vietnam","UMI UMMISCO 209 (IRD/UPMC), UPMC, Sorbonne University, Pierre and Marie Curie University, Paris, France"],"raw_orcid":"https://orcid.org/0000-0002-9328-3358","affiliations":[{"raw_affiliation_string":"College of Information Technology, Can Tho University, Can Tho, Vietnam","institution_ids":["https://openalex.org/I177733328"]},{"raw_affiliation_string":"UMI UMMISCO 209 (IRD/UPMC), UPMC, Sorbonne University, Pierre and Marie Curie University, Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210153851","https://openalex.org/I4210166444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011522380"],"corresponding_institution_ids":["https://openalex.org/I49382586"],"apc_list":{"value":925,"currency":"GBP","value_usd":1134},"apc_paid":{"value":925,"currency":"GBP","value_usd":1134},"fwci":1.0253,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.76291487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"3","issue":"4","first_page":"533","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9947999715805054,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9943000078201294,"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/support-vector-machine","display_name":"Support vector machine","score":0.761287271976471},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5517617464065552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.539470374584198},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5248836874961853},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5237131714820862},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.48519304394721985},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.4620785713195801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4492262899875641},{"id":"https://openalex.org/keywords/rna-seq","display_name":"RNA-Seq","score":0.4290485382080078},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38746577501296997},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3299209177494049},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3292689323425293},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1958683431148529},{"id":"https://openalex.org/keywords/transcriptome","display_name":"Transcriptome","score":0.10432428121566772}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.761287271976471},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5517617464065552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.539470374584198},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5248836874961853},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5237131714820862},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.48519304394721985},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.4620785713195801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4492262899875641},{"id":"https://openalex.org/C107397762","wikidata":"https://www.wikidata.org/wiki/Q2542347","display_name":"RNA-Seq","level":5,"score":0.4290485382080078},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38746577501296997},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3299209177494049},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3292689323425293},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1958683431148529},{"id":"https://openalex.org/C162317418","wikidata":"https://www.wikidata.org/wiki/Q252857","display_name":"Transcriptome","level":4,"score":0.10432428121566772}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/24751839.2019.1660845","is_oa":true,"landing_page_url":"https://doi.org/10.1080/24751839.2019.1660845","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/24751839.2019.1660845?needAccess=true","source":{"id":"https://openalex.org/S4210226961","display_name":"Journal of Information and Telecommunication","issn_l":"2475-1839","issn":["2475-1839","2475-1847"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information and Telecommunication","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:caf7bc9c4ab94b52866438a9574796c2","is_oa":false,"landing_page_url":"https://doaj.org/article/caf7bc9c4ab94b52866438a9574796c2","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Information and Telecommunication, Vol 3, Iss 4, Pp 533-547 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/24751839.2019.1660845","is_oa":true,"landing_page_url":"https://doi.org/10.1080/24751839.2019.1660845","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/24751839.2019.1660845?needAccess=true","source":{"id":"https://openalex.org/S4210226961","display_name":"Journal of Information and Telecommunication","issn_l":"2475-1839","issn":["2475-1839","2475-1847"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information and Telecommunication","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7400000095367432,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1486996222","https://openalex.org/W1498843717","https://openalex.org/W1520812622","https://openalex.org/W1522301498","https://openalex.org/W1563088657","https://openalex.org/W1663973292","https://openalex.org/W1680392829","https://openalex.org/W1727290854","https://openalex.org/W1765205881","https://openalex.org/W1832693441","https://openalex.org/W1977868384","https://openalex.org/W1979657638","https://openalex.org/W1981509058","https://openalex.org/W1984578972","https://openalex.org/W2000723898","https://openalex.org/W2007176121","https://openalex.org/W2009086942","https://openalex.org/W2030122595","https://openalex.org/W2057559260","https://openalex.org/W2064641822","https://openalex.org/W2087347434","https://openalex.org/W2097413644","https://openalex.org/W2101234009","https://openalex.org/W2108728387","https://openalex.org/W2109363337","https://openalex.org/W2112504244","https://openalex.org/W2127544153","https://openalex.org/W2129798396","https://openalex.org/W2131822674","https://openalex.org/W2134932622","https://openalex.org/W2137664016","https://openalex.org/W2139212933","https://openalex.org/W2143426320","https://openalex.org/W2147460572","https://openalex.org/W2149298154","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2157875785","https://openalex.org/W2163605009","https://openalex.org/W2177784250","https://openalex.org/W2178294617","https://openalex.org/W2271840356","https://openalex.org/W2311607323","https://openalex.org/W2404984865","https://openalex.org/W2614424865","https://openalex.org/W2724430069","https://openalex.org/W2787972108","https://openalex.org/W2810286070","https://openalex.org/W2904239337","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W3098726501","https://openalex.org/W3193477162","https://openalex.org/W4239690555","https://openalex.org/W4251852115","https://openalex.org/W4285719527","https://openalex.org/W4298870595","https://openalex.org/W6631190155","https://openalex.org/W6672247373"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W4372048956","https://openalex.org/W3135818052"],"abstract_inverted_index":{"In":[0,112,137],"recent":[1],"years,":[2],"cancer":[3,40,46,78],"is":[4,58,71,101,183],"one":[5],"of":[6,10,45,96,109,123],"the":[7,54,80,140],"leading":[8],"causes":[9,44],"death":[11],"worldwide.":[12],"Therefore,":[13],"there":[14,34],"are":[15,35,47,86,151],"more":[16,18,184],"and":[17,30,69,193],"studies":[19],"that":[20,157,179],"have":[21],"been":[22],"conducted":[23],"to":[24,28,73,88,106],"find":[25],"effective":[26],"solutions":[27],"diagnose":[29],"treat":[31],"cancer.":[32,97],"However,":[33],"still":[36],"many":[37],"challenges":[38],"in":[39,53,66,153],"treatment":[41,95],"because":[42],"possible":[43],"genetic":[48],"disorders":[49],"or":[50],"epigenetic":[51],"alterations":[52],"cells.":[55],"RNA":[56],"sequencing":[57],"a":[59,90,117],"powerful":[60],"technique":[61],"for":[62,76],"gene":[63,119,146,161,169],"expression":[64,84,120,147,162,170],"profiling":[65],"model":[67,92,122],"organisms":[68],"it":[70],"able":[72],"produce":[74],"information":[75],"diagnosing":[77],"at":[79],"biomolecular":[81],"level.":[82],"Gene":[83],"data":[85,103],"used":[87,152],"build":[89],"classification":[91,121],"which":[93,104],"supports":[94],"Nevertheless,":[98],"its":[99],"characteristic":[100],"very-high-dimensional":[102],"lead":[105],"over-fitting":[107],"issue":[108],"classifying":[110,188],"model.":[111],"this":[113],"paper,":[114],"we":[115],"propose":[116],"new":[118],"support":[124],"vector":[125],"machines":[126],"(SVM)":[127],"using":[128],"features":[129,144],"extracted":[130],"by":[131],"deep":[132],"convolutional":[133],"neural":[134],"network":[135],"(DCNN).":[136],"our":[138,180],"approach,":[139],"DCNN":[141],"extracts":[142],"latent":[143],"from":[145,172],"data,":[148],"then":[149],"they":[150],"conjunction":[154],"with":[155],"SVM":[156,192],"efficiently":[158],"classify":[159],"RNA-Seq":[160,168],"data.":[163],"Numerical":[164],"test":[165],"results":[166],"on":[167],"datasets":[171],"The":[173],"Cancer":[174],"Genome":[175],"Atlas":[176],"(TCGA)":[177],"illustrate":[178],"proposed":[181],"algorithm":[182],"accurate":[185],"than":[186],"state-of-the-art":[187],"models":[189],"including":[190],"DCNN,":[191],"random":[194],"forests.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}
