{"id":"https://openalex.org/W4390970090","doi":"https://doi.org/10.1109/bibm58861.2023.10386066","title":"PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model","display_name":"PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390970090","doi":"https://doi.org/10.1109/bibm58861.2023.10386066"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10386066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10386066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5061621381","display_name":"Liangrui Pan","orcid":"https://orcid.org/0000-0003-0565-4217"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangrui Pan","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Chang Sha,China","College of Computer Science and Electronic Engineering, Hunan University, Chang Sha, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Chang Sha,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Chang Sha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077030099","display_name":"Pengfei Rong","orcid":"https://orcid.org/0000-0001-5473-1982"},"institutions":[{"id":"https://openalex.org/I4210156904","display_name":"Third Xiangya Hospital","ror":"https://ror.org/05akvb491","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156904"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Rong","raw_affiliation_strings":["Third Xiangya Hospital Central South University,Department of Radiology,Chang Sha,China","Department of Radiology, Third Xiangya Hospital Central South University, Chang Sha, China"],"affiliations":[{"raw_affiliation_string":"Third Xiangya Hospital Central South University,Department of Radiology,Chang Sha,China","institution_ids":["https://openalex.org/I4210156904","https://openalex.org/I139660479"]},{"raw_affiliation_string":"Department of Radiology, Third Xiangya Hospital Central South University, Chang Sha, China","institution_ids":["https://openalex.org/I4210156904","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049880366","display_name":"Dazheng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazheng Liu","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Chang Sha,China","College of Computer Science and Electronic Engineering, Hunan University, Chang Sha, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Chang Sha,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Chang Sha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067778788","display_name":"Pinle Qin","orcid":"https://orcid.org/0000-0002-9086-7366"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pinle Qin","raw_affiliation_strings":["North University of China,School of Computer Science,Tai Yuan,China","School of Computer Science, North University of China, Tai Yuan, China"],"affiliations":[{"raw_affiliation_string":"North University of China,School of Computer Science,Tai Yuan,China","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"School of Computer Science, North University of China, Tai Yuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027286013","display_name":"Xiangxiang Zeng","orcid":"https://orcid.org/0000-0001-6201-0114"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxiang Zeng","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Chang Sha,China","College of Computer Science and Electronic Engineering, Hunan University, Chang Sha, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Chang Sha,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Chang Sha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108008219","display_name":"Shaoliang Peng","orcid":"https://orcid.org/0000-0002-4647-2615"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoliang Peng","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Chang Sha,China","College of Computer Science and Electronic Engineering, Hunan University, Chang Sha, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Chang Sha,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Chang Sha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061621381"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.9478,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77453082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"904","last_page":"909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9962000250816345,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9957000017166138,"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":0.6915968656539917},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6490869522094727},{"id":"https://openalex.org/keywords/omics","display_name":"Omics","score":0.580776572227478},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5274441838264465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5199976563453674},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47361087799072266},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.43640458583831787},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41143345832824707},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.2997608184814453},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17267248034477234},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08738890290260315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6915968656539917},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6490869522094727},{"id":"https://openalex.org/C157585117","wikidata":"https://www.wikidata.org/wiki/Q158666","display_name":"Omics","level":2,"score":0.580776572227478},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5274441838264465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5199976563453674},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47361087799072266},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.43640458583831787},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41143345832824707},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2997608184814453},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17267248034477234},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08738890290260315},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10386066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10386066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1577822803","https://openalex.org/W1967997862","https://openalex.org/W1987219048","https://openalex.org/W2161289668","https://openalex.org/W2180481128","https://openalex.org/W2287591593","https://openalex.org/W2329659234","https://openalex.org/W2591481727","https://openalex.org/W2738738481","https://openalex.org/W2773316760","https://openalex.org/W2950878899","https://openalex.org/W2951343553","https://openalex.org/W2988803457","https://openalex.org/W3013844559","https://openalex.org/W3087130263","https://openalex.org/W3094502228","https://openalex.org/W3109711993","https://openalex.org/W3154403094","https://openalex.org/W3170986249","https://openalex.org/W3191661929","https://openalex.org/W3194150176","https://openalex.org/W4213019189","https://openalex.org/W4214929667","https://openalex.org/W4225297260","https://openalex.org/W4291286390","https://openalex.org/W4318275377","https://openalex.org/W4366263414","https://openalex.org/W4384341779","https://openalex.org/W4385491154","https://openalex.org/W6704392415","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W177137871","https://openalex.org/W2390968135","https://openalex.org/W4292302930","https://openalex.org/W4386960635","https://openalex.org/W2382213751","https://openalex.org/W2351750670","https://openalex.org/W1597848696","https://openalex.org/W2354715126","https://openalex.org/W2388563748"],"abstract_inverted_index":{"Due":[0],"to":[1,61,138,147],"the":[2,34,74,80,92,95,106,113,117],"high":[3],"heterogeneity":[4],"and":[5,17,42,69,82,124,133,141],"clinical":[6,18],"characteristics":[7,19],"of":[8,27,73,86,94,127],"cancer,":[9],"there":[10],"are":[11],"significant":[12],"differences":[13],"in":[14,130],"multi-omic":[15],"data":[16,152],"among":[20],"different":[21],"cancer":[22,28,63,128,134],"subtypes.":[23],"Therefore,":[24,144],"accurate":[25,45,125],"classification":[26,126],"subtypes":[29,64,129],"can":[30,77],"help":[31],"doctors":[32],"choose":[33],"most":[35],"appropriate":[36],"treatment":[37,40],"options,":[38],"improve":[39],"outcomes,":[41],"provide":[43],"more":[44],"patient":[46],"survival":[47],"predictions.":[48],"In":[49],"this":[50],"study,":[51],"we":[52,145],"propose":[53],"a":[54],"supervised":[55],"multi-head":[56,100],"attention":[57,67,101],"mechanism":[58,68],"model":[59,76,96,115],"(SMA)":[60],"classify":[62],"successfully.":[65],"The":[66],"feature":[70,84],"sharing":[71],"module":[72],"SMA":[75,114],"successfully":[78],"learn":[79],"global":[81],"local":[83],"information":[85],"multi-omics":[87,135,151],"data.":[88],"Second,":[89],"it":[90],"enriches":[91],"parameters":[93],"by":[97,110],"deeply":[98],"fusing":[99],"encoders":[102],"from":[103],"Siamese":[104],"through":[105],"fusion":[107],"module.":[108],"Validated":[109],"extensive":[111],"experiments,":[112],"achieves":[116],"highest":[118],"accuracy,":[119],"F1":[120,122],"macroscopic,":[121],"weighted,":[123],"simulated,":[131],"single-cell,":[132],"datasets":[136],"compared":[137],"AE,":[139],"CNN,":[140],"GNN-based":[142],"models.":[143],"contribute":[146],"future":[148],"research":[149],"on":[150],"using":[153],"our":[154],"attention-based":[155],"approach.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}