{"id":"https://openalex.org/W7147030273","doi":"https://doi.org/10.1109/tbdata.2026.3679583","title":"MAVS:Matrix-Based Attention-Guided Variable Separation and Spectral Clustering for Cancer Subtype Identification","display_name":"MAVS:Matrix-Based Attention-Guided Variable Separation and Spectral Clustering for Cancer Subtype Identification","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7147030273","doi":"https://doi.org/10.1109/tbdata.2026.3679583"},"language":null,"primary_location":{"id":"doi:10.1109/tbdata.2026.3679583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2026.3679583","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","raw_type":"journal-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/A5132594570","display_name":"Ying Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I74837319","display_name":"Jiangxi Agricultural University","ror":"https://ror.org/00dc7s858","country_code":"CN","type":"education","lineage":["https://openalex.org/I74837319"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Liang","raw_affiliation_strings":["School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-9092-2110","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China","institution_ids":["https://openalex.org/I74837319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049531135","display_name":"K. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I74837319","display_name":"Jiangxi Agricultural University","ror":"https://ror.org/00dc7s858","country_code":"CN","type":"education","lineage":["https://openalex.org/I74837319"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixin Li","raw_affiliation_strings":["School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0005-7600-1055","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China","institution_ids":["https://openalex.org/I74837319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061649532","display_name":"Chen Zeng","orcid":"https://orcid.org/0000-0001-7778-6388"},"institutions":[{"id":"https://openalex.org/I74837319","display_name":"Jiangxi Agricultural University","ror":"https://ror.org/00dc7s858","country_code":"CN","type":"education","lineage":["https://openalex.org/I74837319"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zeng","raw_affiliation_strings":["School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China","institution_ids":["https://openalex.org/I74837319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132551803","display_name":"Yinglong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I74837319","display_name":"Jiangxi Agricultural University","ror":"https://ror.org/00dc7s858","country_code":"CN","type":"education","lineage":["https://openalex.org/I74837319"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinglong Wang","raw_affiliation_strings":["School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-4077-6212","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China","institution_ids":["https://openalex.org/I74837319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132563772","display_name":"Xiong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiong Li","raw_affiliation_strings":["School of Information and Software Engineering, East China Jiaotong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-8645-6815","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34870755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"4","first_page":"1332","last_page":"1343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.5752000212669373,"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":0.5752000212669373,"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":0.21410000324249268,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.060100000351667404,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7638999819755554},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.661300003528595},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5802000164985657},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.4641000032424927},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.43619999289512634},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4108000099658966},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4009999930858612},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.4004000127315521},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3772999942302704}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7638999819755554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6926000118255615},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.661300003528595},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5802000164985657},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46889999508857727},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.4641000032424927},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.424699991941452},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.41819998621940613},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4108000099658966},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.4004000127315521},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.365200012922287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3562999963760376},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3481000065803528},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3425000011920929},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C124535831","wikidata":"https://www.wikidata.org/wiki/Q4915074","display_name":"Biomarker discovery","level":4,"score":0.28630000352859497},{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.2815000116825104},{"id":"https://openalex.org/C2777002142","wikidata":"https://www.wikidata.org/wiki/Q5031432","display_name":"Cancer biomarkers","level":3,"score":0.27950000762939453},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.2736000120639801},{"id":"https://openalex.org/C152662350","wikidata":"https://www.wikidata.org/wiki/Q815297","display_name":"Systems biology","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.26739999651908875},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C201797286","wikidata":"https://www.wikidata.org/wiki/Q4914986","display_name":"Biological data","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2615000009536743},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2026.3679583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2026.3679583","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7713919281959534}],"awards":[{"id":"https://openalex.org/G1239594693","display_name":null,"funder_award_id":"62163018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2217042908","display_name":null,"funder_award_id":"62462030","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Cancer":[0,32],"comprises":[1],"diverse":[2],"subtypes":[3,214],"with":[4,112,176],"distinct":[5],"clinical":[6],"implications,":[7],"making":[8],"accurate":[9],"classification":[10],"essential":[11],"for":[12,157,296],"prognosis":[13],"and":[14,49,69,108,136,139,197,206,217,227,243,266,289,311],"prediction.":[15],"Single-omics":[16],"data":[17,38,45,196,245,302],"are":[18,307],"insufficient":[19],"due":[20],"to":[21,75],"gene":[22],"regulatory":[23,257],"complexity,":[24],"whereas":[25],"multi-omics":[26,37,61,183,271,297],"analysis":[27],"offers":[28],"broader":[29],"mechanistic":[30],"insights.":[31],"subtype":[33,299],"identification":[34],"based":[35],"on":[36,168],"is":[39,140,315],"challenged":[40],"by":[41,98,143],"high":[42],"dimensionality,":[43],"heterogeneous":[44,81,96],"distributions,":[46],"missing":[47],"views,":[48],"complex":[50],"cross-omics":[51,120],"interactions.":[52],"To":[53],"address":[54],"these":[55],"issues,":[56],"we":[57],"propose":[58],"a":[59,100,144],"novel":[60],"clustering":[62,94,281],"framework,":[63],"termed":[64],"Matrix-based":[65],"Attention-guided":[66],"Variable":[67],"Separation":[68],"Spectral":[70],"Clustering":[71],"(MAVS),":[72],"which":[73],"aims":[74],"robustly":[76],"integrate":[77],"complementary":[78,130],"information":[79,121],"across":[80,95,194],"omics":[82,195,231],"while":[83,133],"improving":[84,280],"biological":[85,219,290],"interpretability.":[86],"This":[87,126],"approach":[88],"provides":[89],"valuable":[90],"insights":[91],"into":[92],"multi-view":[93],"dimensions":[97],"introducing":[99],"variable":[101,264],"separation":[102,265],"mechanism":[103],"that":[104,117,148,189,211,236,262],"explicitly":[105],"disentangles":[106],"shared":[107],"unique":[109],"representations,":[110],"together":[111],"an":[113],"attention-guided":[114],"integration":[115,184,232,268],"strategy":[116,147],"adaptively":[118],"reweights":[119],"in":[122,201,279,304],"the":[123,150,154,161,212,247,253,267,273,286,293,312],"latent":[124],"space.":[125],"design":[127],"effectively":[128],"exploits":[129],"molecular":[131],"signals":[132],"mitigating":[134],"noise":[135],"cross-view":[137],"inconsistency,":[138],"further":[141,234],"strengthened":[142],"self-supervised":[145],"refinement":[146],"enhances":[149],"discriminative":[151],"quality":[152],"of":[153,239,255,270,292],"integrated":[155],"representations":[156,193],"spectral":[158],"clustering.":[159],"In":[160],"model":[162],"evaluation":[163,167],"phase,":[164],"MAVS":[165,190,274,313],"underwent":[166],"10":[169],"representative":[170],"cancer":[171,202,298],"datasets":[172],"sourced":[173],"from":[174,308],"TCGA,":[175],"performance":[177,200],"comparisons":[178],"made":[179],"against":[180],"11":[181],"advanced":[182],"methods.":[185],"The":[186],"results":[187,284],"demonstrate":[188,285],"integrates":[191],"consistent":[192],"achieves":[198],"superior":[199],"subtyping.Moreover,":[203],"differential":[204],"expression":[205],"functional":[207],"enrichment":[208],"analyses":[209,233],"reveal":[210],"identified":[213],"exhibit":[215],"coherent":[216],"subtype-specific":[218],"processes,":[220],"including":[221],"immune":[222],"regulation,":[223],"oxidative":[224],"stress":[225],"response,":[226],"developmental":[228],"programs.":[229],"Stepwise":[230],"show":[235],"joint":[237],"modeling":[238],"mRNA,":[240],"DNA":[241],"methylation,":[242],"miRNA":[244],"yields":[246],"most":[248],"pronounced":[249],"survival":[250],"stratification,":[251],"highlighting":[252],"importance":[254],"multi-level":[256],"information.":[258],"Ablation":[259],"studies":[260],"confirm":[261],"both":[263],"process":[269],"through":[272],"framework":[275,295],"play":[276],"critical":[277],"roles":[278],"performance.":[282],"These":[283],"effectiveness,":[287],"robustness,":[288],"relevance":[291],"proposed":[294],"identification.":[300],"All":[301],"utilized":[303],"this":[305],"work":[306],"open":[309],"sources,":[310],"code":[314],"publicly":[316],"available":[317],"at":[318],"<uri":[319,322],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[320,323],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/YingLiangjxau/MAVS</uri>":[321],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/YingLiangjxau/MAVS</uri>.":[324]},"counts_by_year":[],"updated_date":"2026-07-11T05:44:25.926202","created_date":"2026-04-02T00:00:00"}