{"id":"https://openalex.org/W4417004147","doi":"https://doi.org/10.1371/journal.pcbi.1013780","title":"Decoupled contrastive multi-view clustering with adaptive false negative elimination for cancer subtyping","display_name":"Decoupled contrastive multi-view clustering with adaptive false negative elimination for cancer subtyping","publication_year":2025,"publication_date":"2025-12-04","ids":{"openalex":"https://openalex.org/W4417004147","doi":"https://doi.org/10.1371/journal.pcbi.1013780","pmid":"https://pubmed.ncbi.nlm.nih.gov/41343620"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1013780","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1013780","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1371/journal.pcbi.1013780","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100565134","display_name":"Mengxiang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengxiang Lin","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112895076","display_name":"Rongqi Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongqi Fan","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Saisai Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Saisai Zhu","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087316018","display_name":"Xiaoqiang Yan","orcid":"https://orcid.org/0000-0002-0002-9300"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqiang Yan","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017426085","display_name":"Quan Zou","orcid":"https://orcid.org/0000-0001-6406-1142"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quan Zou","raw_affiliation_strings":["Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6406-1142","affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210123686"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037131488","display_name":"Zhen Tian","orcid":"https://orcid.org/0000-0003-0945-8168"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Tian","raw_affiliation_strings":["Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0945-8168","affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210123686"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017426085","https://openalex.org/A5037131488","https://openalex.org/A5087316018","https://openalex.org/A5100565134","https://openalex.org/A5112895076"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I38877650","https://openalex.org/I4210123686"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.4238,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66075428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"21","issue":"12","first_page":"e1013780","last_page":"e1013780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.4966999888420105,"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":0.4966999888420105,"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":0.26260000467300415,"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":0.061900001019239426,"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/subtyping","display_name":"Subtyping","score":0.7577999830245972},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7217000126838684},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5034999847412109},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47110000252723694},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.43470001220703125},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.36660000681877136},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.36489999294281006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8321999907493591},{"id":"https://openalex.org/C83852419","wikidata":"https://www.wikidata.org/wiki/Q2713292","display_name":"Subtyping","level":2,"score":0.7577999830245972},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7217000126838684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5440999865531921},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47110000252723694},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.43470001220703125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38850000500679016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3855000138282776},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.36660000681877136},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.36489999294281006},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C2993561819","wikidata":"https://www.wikidata.org/wiki/Q5097977","display_name":"Pediatric cancer","level":3,"score":0.3384000062942505},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3292999863624573},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.30239999294281006},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2992999851703644},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.2865000069141388},{"id":"https://openalex.org/C95922358","wikidata":"https://www.wikidata.org/wiki/Q5432725","display_name":"False positive rate","level":2,"score":0.2630000114440918}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005188","descriptor_name":"False Negative Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005188","descriptor_name":"False Negative Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005188","descriptor_name":"False Negative Reactions","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":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"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}],"locations_count":4,"locations":[{"id":"doi:10.1371/journal.pcbi.1013780","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1013780","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:41343620","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41343620","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:doaj.org/article:7746efac2e04468c955b1a65bf0adf48","is_oa":true,"landing_page_url":"https://doaj.org/article/7746efac2e04468c955b1a65bf0adf48","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 21, Iss 12, p e1013780 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12711033","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12711033/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1013780","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1013780","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3182591502","display_name":null,"funder_award_id":"62371423","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4447824058","display_name":null,"funder_award_id":"252300421226","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"},{"id":"https://openalex.org/G5133105583","display_name":null,"funder_award_id":"62131004","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/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1548779692","https://openalex.org/W1777026571","https://openalex.org/W1965451568","https://openalex.org/W1977556410","https://openalex.org/W1987219048","https://openalex.org/W1987971958","https://openalex.org/W1997533142","https://openalex.org/W2008929650","https://openalex.org/W2025303952","https://openalex.org/W2032982849","https://openalex.org/W2035618305","https://openalex.org/W2107034620","https://openalex.org/W2118527670","https://openalex.org/W2132914434","https://openalex.org/W2134529554","https://openalex.org/W2139967559","https://openalex.org/W2156483112","https://openalex.org/W2158485828","https://openalex.org/W2185729964","https://openalex.org/W2405459681","https://openalex.org/W2626481916","https://openalex.org/W2783685429","https://openalex.org/W2793975714","https://openalex.org/W2884724578","https://openalex.org/W2895654791","https://openalex.org/W2906107882","https://openalex.org/W2950878899","https://openalex.org/W3003192283","https://openalex.org/W3005420916","https://openalex.org/W3035524453","https://openalex.org/W3040894321","https://openalex.org/W3106743555","https://openalex.org/W3128405656","https://openalex.org/W3156905473","https://openalex.org/W3182293965","https://openalex.org/W3187466590","https://openalex.org/W3204312334","https://openalex.org/W4207063191","https://openalex.org/W4214876032","https://openalex.org/W4280555969","https://openalex.org/W4282927968","https://openalex.org/W4286499310","https://openalex.org/W4288809219","https://openalex.org/W4291286390","https://openalex.org/W4294216483","https://openalex.org/W4318189471","https://openalex.org/W4328092154","https://openalex.org/W4378782144","https://openalex.org/W4384207011","https://openalex.org/W4385564753","https://openalex.org/W4387747122","https://openalex.org/W4406229937","https://openalex.org/W4407151613"],"related_works":[],"abstract_inverted_index":{"Cancer's":[0],"heterogeneity":[1],"necessitates":[2],"precise":[3],"subtype":[4],"identification":[5],"for":[6,208,220],"effective":[7],"diagnosis":[8],"and":[9,24,52,111,157,217],"treatment,":[10],"which":[11,72],"can":[12],"be":[13,123],"achieved":[14],"by":[15,204],"integrating":[16],"multi-omics":[17,56],"data":[18],"to":[19,38,68,122,138,149,195,211],"reveal":[20],"distinct":[21,116],"molecular":[22],"characteristics":[23],"enable":[25],"personalized":[26],"therapies.":[27],"Recently,":[28],"significant":[29],"efforts":[30],"have":[31],"been":[32],"made":[33],"through":[34],"contrastive":[35,113],"clustering":[36,106,161],"methods":[37,62],"efficiently":[39],"identify":[40,196],"cancer":[41,60,170,201],"subtypes.":[42],"However,":[43],"existing":[44],"approaches":[45],"remain":[46],"limited":[47],"in":[48,55],"effectively":[49],"capturing":[50],"inter-":[51],"intra-view":[53],"relationships":[54],"data.":[57],"Additionally,":[58],"most":[59],"subtyping":[61],"often":[63],"rely":[64],"on":[65,166],"random":[66],"sampling":[67],"construct":[69],"negative":[70,98,135],"pairs,":[71],"may":[73],"inadvertently":[74],"engender":[75],"false":[76,97,134,142],"negatives.":[77,143],"To":[78],"overcome":[79],"these":[80],"challenges,":[81],"we":[82],"propose":[83],"a":[84,104],"novel":[85],"end-to-end":[86],"self-supervised":[87],"learning":[88,114],"model":[89],"named":[90],"Decoupled":[91],"Contrastive":[92],"Multi-view":[93],"Clustering":[94],"with":[95,176],"adaptive":[96,133],"elimination":[99,136],"(DCMC).":[100],"Specifically,":[101],"DCMC":[102,163,205,221],"adopts":[103],"multi-view":[105],"architecture":[107],"that":[108],"facilitates":[109],"intra-":[110],"inter-view":[112],"across":[115],"embedding":[117],"spaces,":[118],"allowing":[119],"view-specific":[120],"information":[121],"preserved":[124],"while":[125,199],"maintaining":[126],"cross-view":[127],"consistency.":[128],"We":[129],"further":[130,158],"introduce":[131],"an":[132],"framework":[137],"progressively":[139],"screen":[140],"potential":[141,197],"Finally,":[144],"pseudo-label":[145],"rectification":[146],"is":[147,164,193],"applied":[148],"enhance":[150],"the":[151,154,160,184,200],"quality":[152],"of":[153],"learned":[155],"representations":[156],"refine":[159],"process.":[162],"evaluated":[165],"10":[167],"commonly":[168],"used":[169],"datasets":[171,216],"against":[172],"19":[173],"state-of-the-art":[174],"methods,":[175],"experimental":[177],"results":[178],"validating":[179],"its":[180],"superior":[181],"performance.":[182],"In":[183],"Liver":[185],"Hepatocellular":[186],"Carcinoma":[187],"case":[188],"study,":[189],"differential":[190],"expression":[191],"analysis":[192],"performed":[194],"biomarkers,":[198],"subtypes":[202],"identified":[203],"are":[206,222],"validated":[207],"their":[209],"responses":[210],"specific":[212],"therapeutic":[213],"drugs.":[214],"The":[215],"source":[218],"code":[219],"available":[223],"online":[224],"at":[225],"https://github.com/LinMengX/DCMC.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-12-04T00:00:00"}