{"id":"https://openalex.org/W3113548245","doi":"https://doi.org/10.1109/kse50997.2020.9287843","title":"Disease subtyping using community detection from consensus networks","display_name":"Disease subtyping using community detection from consensus networks","publication_year":2020,"publication_date":"2020-11-12","ids":{"openalex":"https://openalex.org/W3113548245","doi":"https://doi.org/10.1109/kse50997.2020.9287843","mag":"3113548245"},"language":"en","primary_location":{"id":"doi:10.1109/kse50997.2020.9287843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse50997.2020.9287843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Knowledge and Systems Engineering (KSE)","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/A5101704793","display_name":"Hung Nguyen","orcid":"https://orcid.org/0000-0002-4756-1732"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hung Nguyen","raw_affiliation_strings":["Computer Science & Engineering, University of Nevada, Reno, Reno, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, University of Nevada, Reno, Reno, USA","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102886561","display_name":"Bang Tran","orcid":"https://orcid.org/0000-0002-4898-8930"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bang Tran","raw_affiliation_strings":["Computer Science & Engineering, University of Nevada, Reno, Reno, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, University of Nevada, Reno, Reno, USA","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101503290","display_name":"Duc Tran","orcid":"https://orcid.org/0000-0003-2918-8601"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duc Tran","raw_affiliation_strings":["Computer Science & Engineering, University of Nevada, Reno, Reno, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, University of Nevada, Reno, Reno, USA","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022062932","display_name":"Quang\u2010Huy Nguyen","orcid":"https://orcid.org/0000-0002-9978-8920"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quang-Huy Nguyen","raw_affiliation_strings":["Department of Computational Biomedicine, Vingroup Big Data Institute, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Biomedicine, Vingroup Big Data Institute, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032004195","display_name":"Duc\u2010Hau Le","orcid":"https://orcid.org/0000-0002-4951-5916"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duc-Hau Le","raw_affiliation_strings":["Department of Computational Biomedicine, Vingroup Big Data Institute, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Biomedicine, Vingroup Big Data Institute, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018043372","display_name":"Tin Nguyen","orcid":"https://orcid.org/0000-0001-8001-9470"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tin Nguyen","raw_affiliation_strings":["Computer Science & Engineering, University of Nevada, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, University of Nevada, Hanoi, Vietnam","institution_ids":["https://openalex.org/I134113660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9998999834060669,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9998999834060669,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9986000061035156,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subtyping","display_name":"Subtyping","score":0.9357693195343018},{"id":"https://openalex.org/keywords/epigenomics","display_name":"Epigenomics","score":0.6482641100883484},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.6242570877075195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5708874464035034},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.5521209239959717},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4880608320236206},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.46700772643089294},{"id":"https://openalex.org/keywords/genomics","display_name":"Genomics","score":0.4498155415058136},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.41580596566200256},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3341825604438782},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.32441890239715576},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.26041996479034424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21441146731376648},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16697165369987488},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.1381404995918274},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.08618476986885071},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.0757080614566803}],"concepts":[{"id":"https://openalex.org/C83852419","wikidata":"https://www.wikidata.org/wiki/Q2713292","display_name":"Subtyping","level":2,"score":0.9357693195343018},{"id":"https://openalex.org/C121912465","wikidata":"https://www.wikidata.org/wiki/Q3589153","display_name":"Epigenomics","level":5,"score":0.6482641100883484},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.6242570877075195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5708874464035034},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5521209239959717},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4880608320236206},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.46700772643089294},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.4498155415058136},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.41580596566200256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3341825604438782},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.32441890239715576},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.26041996479034424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21441146731376648},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16697165369987488},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.1381404995918274},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.08618476986885071},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0757080614566803},{"id":"https://openalex.org/C190727270","wikidata":"https://www.wikidata.org/wiki/Q874745","display_name":"DNA methylation","level":4,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kse50997.2020.9287843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse50997.2020.9287843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W70383152","https://openalex.org/W1902027874","https://openalex.org/W1987219048","https://openalex.org/W2004878973","https://openalex.org/W2022401242","https://openalex.org/W2023461603","https://openalex.org/W2023560061","https://openalex.org/W2041993682","https://openalex.org/W2069381074","https://openalex.org/W2095763169","https://openalex.org/W2102976033","https://openalex.org/W2117968640","https://openalex.org/W2129034112","https://openalex.org/W2131681506","https://openalex.org/W2134755598","https://openalex.org/W2136787567","https://openalex.org/W2141599838","https://openalex.org/W2185729964","https://openalex.org/W2255394077","https://openalex.org/W2330304652","https://openalex.org/W2469942742","https://openalex.org/W2561437993","https://openalex.org/W2569086487","https://openalex.org/W2594533529","https://openalex.org/W2611654275","https://openalex.org/W2765654979","https://openalex.org/W2783685429","https://openalex.org/W2796586233","https://openalex.org/W2798788651","https://openalex.org/W2811201370","https://openalex.org/W2888425642","https://openalex.org/W2903886788","https://openalex.org/W2906107882","https://openalex.org/W2913268845","https://openalex.org/W2918659882","https://openalex.org/W2923843435","https://openalex.org/W2943764719","https://openalex.org/W2944815180","https://openalex.org/W2946065743","https://openalex.org/W2950878899","https://openalex.org/W2951033368","https://openalex.org/W2951449549","https://openalex.org/W2963127739","https://openalex.org/W2969115586","https://openalex.org/W2979832776","https://openalex.org/W2980070874","https://openalex.org/W2991049554","https://openalex.org/W2992299262","https://openalex.org/W2994283242","https://openalex.org/W3009483482","https://openalex.org/W3036271015","https://openalex.org/W3087960140","https://openalex.org/W3093535455","https://openalex.org/W3099768174","https://openalex.org/W3147894994","https://openalex.org/W4235169531","https://openalex.org/W4252676770","https://openalex.org/W6602870191","https://openalex.org/W6762674421","https://openalex.org/W6769054049","https://openalex.org/W6771251057"],"related_works":["https://openalex.org/W2396009657","https://openalex.org/W2799110842","https://openalex.org/W3032826521","https://openalex.org/W2391332606","https://openalex.org/W1462775415","https://openalex.org/W4229853287","https://openalex.org/W1987896487","https://openalex.org/W2008549446","https://openalex.org/W3035076328","https://openalex.org/W3119866144"],"abstract_inverted_index":{"Cancer":[0,126],"is":[1,94,104],"a":[2,6,57,71,80],"complex":[3],"disease":[4,98],"including":[5],"range":[7],"of":[8,32,44],"disorders":[9],"that":[10,60,63,93,131],"are":[11],"activated":[12],"simultaneously":[13],"by":[14,137],"multiple":[15,19],"biological":[16],"processes":[17,34],"on":[18],"levels.":[20,41],"Various":[21],"genome-wide":[22],"profiling":[23],"techniques":[24],"have":[25],"been":[26],"developed":[27],"to":[28,52,96,120],"capture":[29],"the":[30,36,50],"dynamics":[31],"these":[33,47],"at":[35],"epigenomic,":[37],"transcriptomic,":[38],"and":[39,103,115,143],"proteomic":[40],"Integrative":[42],"analysis":[43,111],"data":[45,73,102],"from":[46,56,70,90,100,124],"sources":[48],"has":[49],"potential":[51],"differentiate":[53],"cancer":[54,122],"subtypes":[55,99,145],"holistic":[58],"perspective":[59],"reveals":[61],"connections":[62],"otherwise":[64],"cannot":[65],"be":[66],"detected":[67],"using":[68,87,112],"observations":[69],"single":[72],"type.":[74],"In":[75,108],"this":[76],"article,":[77],"we":[78,129],"present":[79],"novel":[81,144],"approach":[82],"named":[83],"DSCC":[84,132],"(Disease":[85],"Subtyping":[86],"Community":[88],"detection":[89],"Consensus":[91],"networks)":[92],"able":[95],"discover":[97],"multi-omics":[101],"robust":[105],"against":[106],"noise.":[107],"an":[109],"extensive":[110],"simulation":[113],"studies":[114],"5,782":[116],"real":[117],"patients":[118],"belonging":[119],"20":[121],"datasets":[123],"The":[125],"Genome":[127],"Atlas,":[128],"demonstrate":[130],"outperforms":[133],"state-of-":[134],"the-art":[135],"methods":[136],"correctly":[138],"identifying":[139],"known":[140],"patient":[141],"groups":[142],"with":[146],"significantly":[147],"different":[148],"survival":[149],"profiles.":[150]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}