{"id":"https://openalex.org/W4391133499","doi":"https://doi.org/10.1186/s12859-024-05652-6","title":"Clustering on hierarchical heterogeneous data with prior pairwise relationships","display_name":"Clustering on hierarchical heterogeneous data with prior pairwise relationships","publication_year":2024,"publication_date":"2024-01-23","ids":{"openalex":"https://openalex.org/W4391133499","doi":"https://doi.org/10.1186/s12859-024-05652-6","pmid":"https://pubmed.ncbi.nlm.nih.gov/38262930"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-024-05652-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05652-6","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05652-6","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05652-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101457350","display_name":"Wei Han","orcid":"https://orcid.org/0000-0003-4300-0687"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Han","raw_affiliation_strings":["Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China","School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210096250"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112303422","display_name":"Sanguo Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanguo Zhang","raw_affiliation_strings":["Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China","School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210096250"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104595158","display_name":"Hailong Gao","orcid":"https://orcid.org/0009-0007-7874-7402"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Gao","raw_affiliation_strings":["School of Mathematics and Statistics, Qingdao University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050551380","display_name":"Deliang Bu","orcid":"https://orcid.org/0000-0001-9939-5708"},"institutions":[{"id":"https://openalex.org/I90259746","display_name":"Capital University of Economics and Business","ror":"https://ror.org/01r5sf951","country_code":"CN","type":"education","lineage":["https://openalex.org/I90259746"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Deliang Bu","raw_affiliation_strings":["School of Statistics, Capital University of Economics and Business, Beijing, China. budeliang@cueb.edu.cn","School of Statistics, Capital University of Economics and Business, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, Capital University of Economics and Business, Beijing, China. budeliang@cueb.edu.cn","institution_ids":["https://openalex.org/I90259746"]},{"raw_affiliation_string":"School of Statistics, Capital University of Economics and Business, Beijing, China","institution_ids":["https://openalex.org/I90259746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050551380"],"corresponding_institution_ids":["https://openalex.org/I90259746"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":0.6495,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63730385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"25","issue":"1","first_page":"40","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.3781000077724457,"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":0.3781000077724457,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.3127000033855438,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.09210000187158585,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8743788003921509},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.706358790397644},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6709633469581604},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.6515663862228394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6495269536972046},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.5685781836509705},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.47899338603019714},{"id":"https://openalex.org/keywords/brown-clustering","display_name":"Brown clustering","score":0.46982431411743164},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.46803855895996094},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.464517742395401},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.46027514338493347},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.44378286600112915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38742053508758545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34267035126686096}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8743788003921509},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.706358790397644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6709633469581604},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.6515663862228394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6495269536972046},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.5685781836509705},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.47899338603019714},{"id":"https://openalex.org/C167984511","wikidata":"https://www.wikidata.org/wiki/Q17003931","display_name":"Brown clustering","level":5,"score":0.46982431411743164},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.46803855895996094},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.464517742395401},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.46027514338493347},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.44378286600112915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38742053508758545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34267035126686096}],"mesh":[{"descriptor_ui":"D000077192","descriptor_name":"Adenocarcinoma of Lung","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077192","descriptor_name":"Adenocarcinoma of Lung","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077192","descriptor_name":"Adenocarcinoma of Lung","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077192","descriptor_name":"Adenocarcinoma of Lung","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":null,"qualifier_name":null,"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":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-024-05652-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05652-6","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05652-6","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:38262930","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38262930","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10807103","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10807103","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10807103/pdf/12859_2024_Article_5652.pdf","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":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:c9b3b22cca024c05a9b1ee3842695b24","is_oa":true,"landing_page_url":"https://doaj.org/article/c9b3b22cca024c05a9b1ee3842695b24","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":"BMC Bioinformatics, Vol 25, Iss 1, Pp 1-22 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-024-05652-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05652-6","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05652-6","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5099999904632568,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G3094444172","display_name":null,"funder_award_id":"No.12171454","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3992944945","display_name":null,"funder_award_id":"U19B2940","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5739337557","display_name":null,"funder_award_id":"QNTD202303","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G731680498","display_name":null,"funder_award_id":"12171454","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8639971401","display_name":null,"funder_award_id":"QNTD202303","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391133499.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1894762474","https://openalex.org/W1903133717","https://openalex.org/W1965125844","https://openalex.org/W1970986119","https://openalex.org/W1992929897","https://openalex.org/W1997672012","https://openalex.org/W2006255103","https://openalex.org/W2015886537","https://openalex.org/W2044729876","https://openalex.org/W2074682976","https://openalex.org/W2085487226","https://openalex.org/W2099610622","https://openalex.org/W2131074607","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2141414987","https://openalex.org/W2144792853","https://openalex.org/W2153233077","https://openalex.org/W2166432084","https://openalex.org/W2166624956","https://openalex.org/W2212737779","https://openalex.org/W2220114634","https://openalex.org/W2335239377","https://openalex.org/W2548615865","https://openalex.org/W2554662607","https://openalex.org/W2568870981","https://openalex.org/W2612520954","https://openalex.org/W2769322745","https://openalex.org/W2884724578","https://openalex.org/W2921364530","https://openalex.org/W2942113039","https://openalex.org/W2949561674","https://openalex.org/W2950781168","https://openalex.org/W2952308182","https://openalex.org/W2963032456","https://openalex.org/W2975484662","https://openalex.org/W2989743390","https://openalex.org/W3016458510","https://openalex.org/W3080842897","https://openalex.org/W3098306969","https://openalex.org/W3101436145","https://openalex.org/W3104808334","https://openalex.org/W3104927725","https://openalex.org/W3195573795","https://openalex.org/W4235169531","https://openalex.org/W4283759578","https://openalex.org/W4287322212","https://openalex.org/W4292363360","https://openalex.org/W4294141750"],"related_works":["https://openalex.org/W1957537378","https://openalex.org/W2152187121","https://openalex.org/W2111827030","https://openalex.org/W2067669858","https://openalex.org/W2118740473","https://openalex.org/W2187529160","https://openalex.org/W2473308841","https://openalex.org/W2077759297","https://openalex.org/W2311450085","https://openalex.org/W2727104601"],"abstract_inverted_index":{"BACKGROUND:":[0],"Clustering":[1],"is":[2,149,243],"a":[3,81,132],"fundamental":[4],"problem":[5],"in":[6,12,34,203,220],"statistics":[7],"and":[8,21,37,46,62,69,103,110,187,206,230,240,245],"has":[9],"broad":[10],"applications":[11],"various":[13],"areas.":[14],"Traditional":[15],"clustering":[16,82,95,116,125,144,167,190,198,208,242],"methods":[17,202],"treat":[18],"features":[19,43,51,102],"equally":[20,52],"ignore":[22],"the":[23,28,56,99,119,123,182,207,221],"potential":[24,105],"structure":[25,61,107,236],"brought":[26],"by":[27,108,122,142,238],"characteristic":[29],"difference":[30,100],"of":[31,41,58,71,101,135,158,174,185,189,223],"features.":[32],"Especially":[33],"cancer":[35,63,136],"diagnosis":[36],"treatment,":[38],"several":[39],"types":[40],"biological":[42,216],"are":[44,178,218],"collected":[45],"analyzed":[47],"together.":[48],"Treating":[49],"these":[50],"fails":[53],"to":[54,67,163,165],"identify":[55],"heterogeneity":[57],"both":[59],"data":[60,88,229],"itself,":[64],"which":[65],"leads":[66],"incompleteness":[68],"inefficacy":[70],"current":[72],"anti-cancer":[73],"therapies.":[74],"OBJECTIVES:":[75],"In":[76],"this":[77],"paper,":[78],"we":[79],"propose":[80],"framework":[83],"based":[84],"on":[85],"hierarchical":[86,106,235],"heterogeneous":[87],"with":[89,152,211,226],"prior":[90,153,212],"pairwise":[91,156],"relationships.":[92],"The":[93,114,146],"proposed":[94,147,176,194],"method":[96,148,177,195],"fully":[97],"characterizes":[98],"identifies":[104],"rough":[109,124,239],"refined":[111,115,241],"clusters.":[112],"RESULTS:":[113],"further":[117],"divides":[118],"clusters":[120],"obtained":[121,219],"into":[126],"different":[127],"subtypes.":[128],"Thus":[129],"it":[130],"provides":[131],"deeper":[133],"insight":[134],"that":[137,234],"can":[138,160],"not":[139],"be":[140,161],"detected":[141],"existing":[143],"methods.":[145],"also":[150],"flexible":[151],"information,":[154],"additional":[155],"relationships":[157],"samples":[159],"incorporated":[162],"help":[164],"improve":[166],"performance.":[168],"Finally,":[169],"well-grounded":[170],"statistical":[171],"consistency":[172],"properties":[173],"our":[175],"rigorously":[179],"established,":[180],"including":[181],"accurate":[183],"estimation":[184],"parameters":[186],"determination":[188],"structures.":[191],"CONCLUSIONS:":[192],"Our":[193],"achieves":[196],"better":[197],"performance":[199],"than":[200],"other":[201],"simulation":[204],"studies,":[205],"accuracy":[209],"increases":[210],"information":[213],"incorporated.":[214],"Meaningful":[215],"findings":[217],"analysis":[222],"lung":[224],"adenocarcinoma":[225],"clinical":[227],"imaging":[228],"omics":[231],"data,":[232],"showing":[233],"produced":[237],"necessary":[244],"reasonable.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
