{"id":"https://openalex.org/W3026207202","doi":"https://doi.org/10.1145/3386052.3386063","title":"Breast Cancer Subtype by Imbalanced Omics Data through A Deep Learning Fusion Model","display_name":"Breast Cancer Subtype by Imbalanced Omics Data through A Deep Learning Fusion Model","publication_year":2020,"publication_date":"2020-01-19","ids":{"openalex":"https://openalex.org/W3026207202","doi":"https://doi.org/10.1145/3386052.3386063","mag":"3026207202"},"language":"en","primary_location":{"id":"doi:10.1145/3386052.3386063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386052.3386063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 10th International Conference on Bioscience, Biochemistry and Bioinformatics","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/A5079585351","display_name":"Jingwen Zeng","orcid":"https://orcid.org/0009-0003-1759-8547"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingwen Zeng","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046396291","display_name":"Hongmin Cai","orcid":"https://orcid.org/0000-0002-2747-7234"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Cai","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016330265","display_name":"Tatsuya Akutsu","orcid":"https://orcid.org/0000-0001-9763-797X"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I4399598384","display_name":"Kyoto University Institute for Chemical Research","ror":"https://ror.org/0349bbg69","country_code":null,"type":"facility","lineage":["https://openalex.org/I22299242","https://openalex.org/I4399598384"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Akutsu","raw_affiliation_strings":["Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242","https://openalex.org/I4399598384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079585351"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.3314,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.56111294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"78","last_page":"83"},"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/T10862","display_name":"AI in cancer detection","score":0.9919000267982483,"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/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.991599977016449,"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/breast-cancer","display_name":"Breast cancer","score":0.6690678000450134},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5317230224609375},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4999213218688965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4897944927215576},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.454480916261673},{"id":"https://openalex.org/keywords/precision-medicine","display_name":"Precision medicine","score":0.4462760090827942},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44514980912208557},{"id":"https://openalex.org/keywords/omics","display_name":"Omics","score":0.4301655888557434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42358633875846863},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3607918620109558},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3402109146118164},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.3401539921760559},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2594921886920929},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.189080148935318},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.17006278038024902},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.09253436326980591}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6690678000450134},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5317230224609375},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4999213218688965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4897944927215576},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.454480916261673},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.4462760090827942},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44514980912208557},{"id":"https://openalex.org/C157585117","wikidata":"https://www.wikidata.org/wiki/Q158666","display_name":"Omics","level":2,"score":0.4301655888557434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42358633875846863},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3607918620109558},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3402109146118164},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.3401539921760559},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2594921886920929},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.189080148935318},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.17006278038024902},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.09253436326980591},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3386052.3386063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386052.3386063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 10th International Conference on Bioscience, Biochemistry and Bioinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1288907465","display_name":null,"funder_award_id":"2017B020226004","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"},{"id":"https://openalex.org/G2021684264","display_name":null,"funder_award_id":"61771007","funder_id":"https://openalex.org/F4320327720","funder_display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320327720","display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","ror":null},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2016408662","https://openalex.org/W2087971080","https://openalex.org/W2096283457","https://openalex.org/W2132619562","https://openalex.org/W2157423592","https://openalex.org/W2172358623","https://openalex.org/W2230320310","https://openalex.org/W2409650203","https://openalex.org/W2548983066","https://openalex.org/W2608270353","https://openalex.org/W2765219164","https://openalex.org/W2809511075","https://openalex.org/W2888524589","https://openalex.org/W2900694973","https://openalex.org/W2918618349","https://openalex.org/W2919453023","https://openalex.org/W2943939385","https://openalex.org/W2944575652","https://openalex.org/W2949685204","https://openalex.org/W2964236544","https://openalex.org/W2965878291","https://openalex.org/W2972223935","https://openalex.org/W2982608875"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4293226380","https://openalex.org/W2788286722","https://openalex.org/W2976952765","https://openalex.org/W3215632853","https://openalex.org/W2042445733","https://openalex.org/W4309006001","https://openalex.org/W4310366084","https://openalex.org/W3195112886","https://openalex.org/W2590543013"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,38,49,69],"is":[2,42],"a":[3,43,84,100,138],"highly":[4],"heterogeneous":[5],"disease":[6],"that":[7,165],"consists":[8],"of":[9,54,67,75,124,154,172],"subtypes":[10,22,30,77,90,108,171],"with":[11,20,91,174],"distinct":[12],"genetic":[13],"features":[14],"and":[15,36,126,178],"clinical":[16],"symptoms.":[17],"The":[18,51],"patients":[19,173],"different":[21,25],"react":[23],"to":[24,33,64,103,150,159],"therapies,":[26],"thus":[27,157],"identifying":[28,89],"molecular":[29],"greatly":[31,62],"contributes":[32],"precision":[34,176],"diagnosis":[35],"personalized":[37],"treatment.":[39],"PAM50":[40,107,170],"subtype":[41,70],"widely":[44],"accepted":[45],"standard":[46],"in":[47,57,78,83,87,115],"breast":[48,68],"classification.":[50],"large":[52,85],"amount":[53],"multi-omics":[55],"data":[56],"public":[58],"database":[59,81],"like":[60],"TCGA":[61,116],"contribute":[63],"the":[65,73,79,106,111,120,131,152,160],"study":[66],"identification.":[71,162],"However,":[72],"imbalance":[74],"sample":[76,93],"existing":[80],"results":[82],"difficulty":[86],"correctly":[88],"small":[92],"size.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98],"proposed":[99,132],"novel":[101],"method":[102,133,167],"accurately":[104],"identify":[105,169],"by":[109,137],"utilizing":[110],"patients'":[112],"omics":[113],"profiles":[114,123],"database.":[117],"Based":[118],"on":[119],"integrated":[121],"expression":[122],"RNA-seq":[125],"Copy":[127],"Number":[128],"Alteration":[129],"(CNA),":[130],"identifies":[134],"subtype-related":[135],"patterns":[136],"multi-layer":[139],"Convolutional":[140],"Neural":[141],"Network":[142],"(CNN).":[143],"A":[144],"weighted":[145],"loss":[146],"function":[147],"was":[148],"applied":[149],"alleviate":[151],"effects":[153],"imbalanced":[155],"samples,":[156],"contributing":[158],"accurate":[161],"We":[163],"demonstrated":[164],"our":[166],"could":[168],"high":[175],"(90.02%)":[177],"outperformed":[179],"two":[180],"benchmark":[181],"methods.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}