{"id":"https://openalex.org/W2001502878","doi":"https://doi.org/10.1109/tcbb.2014.2377729","title":"Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach","display_name":"Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach","publication_year":2014,"publication_date":"2014-12-05","ids":{"openalex":"https://openalex.org/W2001502878","doi":"https://doi.org/10.1109/tcbb.2014.2377729","mag":"2001502878","pmid":"https://pubmed.ncbi.nlm.nih.gov/26357333"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2014.2377729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2014.2377729","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5084404451","display_name":"Muxuan Liang","orcid":"https://orcid.org/0000-0002-1351-7928"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Muxuan Liang","raw_affiliation_strings":["Department of Mathematical Sciences, Tsinghua University, Beijing, P. R. China","Department of Statistics, University of Wisconsin-Madison, Madison, WI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Statistics, University of Wisconsin-Madison, Madison, WI","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742441","display_name":"Zhizhong Li","orcid":"https://orcid.org/0000-0001-5823-5636"},"institutions":[{"id":"https://openalex.org/I127128434","display_name":"Genomics Institute of the Novartis Research Foundation","ror":"https://ror.org/017136v53","country_code":"US","type":"facility","lineage":["https://openalex.org/I127128434","https://openalex.org/I1283582996","https://openalex.org/I4210117619"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhizhong Li","raw_affiliation_strings":["Drug Discovery Oncology Group, Genomics Institute of the Novartis Research Foundation, 75 John Jay Hopkins Drive, San Diego, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drug Discovery Oncology Group, Genomics Institute of the Novartis Research Foundation, 75 John Jay Hopkins Drive, San Diego, CA","institution_ids":["https://openalex.org/I127128434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443189","display_name":"Ting Chen","orcid":"https://orcid.org/0000-0002-3228-9166"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Ting Chen","raw_affiliation_strings":["Bioinformatics Division, TNLIST and Department of Computer Science and Technology, Tsinghua University, Beijing, P. R. China","Program in Computational Biology and Bioinformatics, University of Southern California, LA, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Division, TNLIST and Department of Computer Science and Technology, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Program in Computational Biology and Bioinformatics, University of Southern California, LA, CA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009826239","display_name":"Jianyang Zeng","orcid":"https://orcid.org/0000-0003-0950-7716"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyang Zeng","raw_affiliation_strings":["Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":3.7657,"has_fulltext":false,"cited_by_count":249,"citation_normalized_percentile":{"value":0.94198772,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"12","issue":"4","first_page":"928","last_page":"937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9983000159263611,"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":0.9983000159263611,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9908000230789185,"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/computer-science","display_name":"Computer science","score":0.6401126980781555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5630614757537842},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5598435401916504},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5014050006866455},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4971068203449249},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.43979835510253906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4339095652103424}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6401126980781555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630614757537842},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5598435401916504},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5014050006866455},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4971068203449249},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.43979835510253906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4339095652103424}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D053208","descriptor_name":"Kaplan-Meier Estimate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053208","descriptor_name":"Kaplan-Meier Estimate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053208","descriptor_name":"Kaplan-Meier Estimate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2014.2377729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2014.2377729","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:26357333","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26357333","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G4886626501","display_name":null,"funder_award_id":"2011CBA00301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G680756813","display_name":"\u901a\u8baf\u3001\u5bc6\u7801\u53ca\u91cf\u5b50\u4fe1\u606f\u4e4b\u590d\u6742\u6027\u95ee\u9898\u7814\u7a76","funder_award_id":"61033001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7219872841","display_name":null,"funder_award_id":"61361136003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8623030917","display_name":null,"funder_award_id":"2011CBA00300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8755943873","display_name":"\u57fa\u4e8e\u7f51\u7edc\u7684\u836f\u7269\uff0d\u9776\u6807\u76f8\u4e92\u4f5c\u7528\u9884\u6d4b\u7684\u6a21\u578b\u7814\u7a76","funder_award_id":"61472205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W66838807","https://openalex.org/W154472438","https://openalex.org/W189596042","https://openalex.org/W1547608553","https://openalex.org/W1563316806","https://openalex.org/W1603152151","https://openalex.org/W1977556410","https://openalex.org/W1983442276","https://openalex.org/W2005496710","https://openalex.org/W2064630666","https://openalex.org/W2093963603","https://openalex.org/W2099242680","https://openalex.org/W2099866409","https://openalex.org/W2104500293","https://openalex.org/W2105717378","https://openalex.org/W2106051978","https://openalex.org/W2116825644","https://openalex.org/W2117968640","https://openalex.org/W2126671570","https://openalex.org/W2128985829","https://openalex.org/W2133465414","https://openalex.org/W2136922672","https://openalex.org/W2158217645","https://openalex.org/W2158940923","https://openalex.org/W2160450758","https://openalex.org/W2160815625","https://openalex.org/W2184188583","https://openalex.org/W2398377636","https://openalex.org/W2416281740","https://openalex.org/W4252676770","https://openalex.org/W4285719527","https://openalex.org/W4396952261","https://openalex.org/W6601785968","https://openalex.org/W6606244218","https://openalex.org/W6683356575"],"related_works":["https://openalex.org/W2585432886","https://openalex.org/W2165991108","https://openalex.org/W3082895349","https://openalex.org/W3004069267","https://openalex.org/W2565516711","https://openalex.org/W4380075502","https://openalex.org/W4327774331","https://openalex.org/W3136021864","https://openalex.org/W2572334665","https://openalex.org/W2248239756"],"abstract_inverted_index":{"Identification":[0],"of":[1,22,31,47,63,75,120,130,164,192,229,243],"cancer":[2,60,105,177,209,231,253,271,280],"subtypes":[3,206],"plays":[4],"an":[5,170],"important":[6],"role":[7],"in":[8,169,226,251,270],"revealing":[9],"useful":[10,276],"insights":[11],"into":[12,127],"disease":[13,205],"pathogenesis":[14,228,272],"and":[15,40,79,133,199,202,219,274],"advancing":[16],"personalized":[17,279],"therapy.":[18,281],"The":[19],"recent":[20],"development":[21],"high-throughput":[23],"sequencing":[24],"technologies":[25],"has":[26],"enabled":[27],"the":[28,44,162,227,240],"rapid":[29],"collection":[30],"multi-platform":[32,84,108,208],"genomic":[33],"data":[34,183,263],"(e.g.,":[35],"gene":[36],"expression,":[37,39],"miRNA":[38],"DNA":[41],"methylation)":[42],"for":[43,278],"same":[45],"set":[46],"tumor":[48],"samples.":[49],"Although":[50],"numerous":[51],"integrative":[52,113,182],"clustering":[53,114],"approaches":[54],"have":[55,267],"been":[56],"developed":[57],"to":[58,68,103,141,160,195],"analyze":[59],"data,":[61],"few":[62],"them":[64],"are":[65,124],"particularly":[66],"designed":[67],"exploit":[69],"both":[70,197],"deep":[71,99],"intrinsic":[72],"statistical":[73],"properties":[74],"each":[76,121],"input":[77,85,148],"modality":[78,123],"complex":[80],"cross-modality":[81,200],"correlations":[82],"among":[83,117],"data.":[86,110,210],"In":[87,111,211],"this":[88],"paper,":[89],"we":[90,237],"propose":[91],"a":[92,135,189],"new":[93],"machine":[94],"learning":[95,152],"model,":[96],"called":[97,154],"multimodal":[98,166,260],"belief":[100],"network":[101],"(DBN),":[102],"cluster":[104],"patients":[106],"from":[107,146,207],"observation":[109],"our":[112,165,181,213,259],"framework,":[115],"relationships":[116],"inherent":[118],"features":[119,144,194],"single":[122],"first":[125],"encoded":[126],"multiple":[128,147],"layers":[129],"hidden":[131],"variables,":[132],"then":[134],"joint":[136],"latent":[137,193],"model":[138,168],"is":[139,158,245],"employed":[140],"fuse":[142],"common":[143],"derived":[145],"modalities.":[149],"A":[150],"practical":[151,268],"algorithm,":[153],"contrastive":[155],"divergence":[156],"(CD),":[157],"applied":[159],"infer":[161],"parameters":[163],"DBN":[167,261],"unsupervised":[171],"manner.":[172],"Tests":[173],"on":[174],"two":[175],"available":[176],"datasets":[178],"show":[179],"that":[180,221,239,258],"analysis":[184,264],"approach":[185,214,265],"can":[186,215],"effectively":[187],"extract":[188],"unified":[190],"representation":[191],"capture":[196],"intra-":[198],"correlations,":[201],"identify":[203,216],"meaningful":[204],"addition,":[212],"key":[217,235],"genes":[218],"miRNAs":[220],"may":[222,266],"play":[223],"distinct":[224],"roles":[225],"different":[230],"subtypes.":[232],"Among":[233],"those":[234],"miRNAs,":[236],"found":[238],"expression":[241],"level":[242],"miR-29a":[244],"highly":[246],"correlated":[247],"with":[248],"survival":[249],"time":[250],"ovarian":[252],"patients.":[254],"These":[255],"results":[256],"indicate":[257],"based":[262],"applications":[269],"studies":[273],"provide":[275],"guidelines":[277]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":40},{"year":2020,"cited_by_count":39},{"year":2019,"cited_by_count":37},{"year":2018,"cited_by_count":34},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
