{"id":"https://openalex.org/W4386011532","doi":"https://doi.org/10.1142/s0219720023500191","title":"A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification","display_name":"A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4386011532","doi":"https://doi.org/10.1142/s0219720023500191","pmid":"https://pubmed.ncbi.nlm.nih.gov/37694488"},"language":"en","primary_location":{"id":"doi:10.1142/s0219720023500191","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720023500191","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1142/S0219720023500191","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109631849","display_name":"Carlos E. M. Relvas","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlos E. M. Relvas","raw_affiliation_strings":["Institute of Mathematics and Statistics, University of S\u00e3o Paulo, Rua do Mat\u00e3o 1010 S\u00e3o Paulo, S\u00e3o Paulo 05508-090, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Statistics, University of S\u00e3o Paulo, Rua do Mat\u00e3o 1010 S\u00e3o Paulo, S\u00e3o Paulo 05508-090, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105711313","display_name":"Asuka Nakata","orcid":null},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Asuka Nakata","raw_affiliation_strings":["Cancer Research Institute, Kanazawa University, Kanazawa, Ishikawa 920-1164, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cancer Research Institute, Kanazawa University, Kanazawa, Ishikawa 920-1164, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001276721","display_name":"Guoan Chen","orcid":"https://orcid.org/0000-0001-5608-6761"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoan Chen","raw_affiliation_strings":["School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Blvd. Shenzhen, Guangdong 518055, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Blvd. Shenzhen, Guangdong 518055, P. R. China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057943415","display_name":"David G. Beer","orcid":"https://orcid.org/0000-0002-2662-9507"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David G. Beer","raw_affiliation_strings":["Rogel Cancer Center, University of Michigan, 1500 E Medical Center Dr Ann Arbor, Michigan 48109, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rogel Cancer Center, University of Michigan, 1500 E Medical Center Dr Ann Arbor, Michigan 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085007436","display_name":"Noriko Gotoh","orcid":"https://orcid.org/0000-0003-3733-260X"},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriko Gotoh","raw_affiliation_strings":["Cancer Research Institute, Kanazawa University, Kanazawa, Ishikawa 920-1164, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cancer Research Institute, Kanazawa University, Kanazawa, Ishikawa 920-1164, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067767544","display_name":"Andr\u00e9 Fujita","orcid":"https://orcid.org/0000-0002-7756-7051"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Andre Fujita","raw_affiliation_strings":["Institute of Mathematics and Statistics, University of S\u00e3o Paulo, Rua do Mat\u00e3o 1010 S\u00e3o Paulo, S\u00e3o Paulo 05508-090, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-7756-7051","affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Statistics, University of S\u00e3o Paulo, Rua do Mat\u00e3o 1010 S\u00e3o Paulo, S\u00e3o Paulo 05508-090, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067767544"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":0.1846,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4610121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"21","issue":"04","first_page":"2350019","last_page":"2350019"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9958999752998352,"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":0.9958999752998352,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9918000102043152,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9768000245094299,"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":0.8993782997131348},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.7618151307106018},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.591641902923584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5370992422103882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5058886408805847},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5031699538230896},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4248812794685364},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4127088189125061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37236857414245605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3324301838874817},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2600623071193695}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8993782997131348},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.7618151307106018},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.591641902923584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5370992422103882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5058886408805847},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5031699538230896},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4248812794685364},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4127088189125061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37236857414245605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3324301838874817},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2600623071193695},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","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":"D002289","descriptor_name":"Carcinoma, Non-Small-Cell Lung","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D002289","descriptor_name":"Carcinoma, Non-Small-Cell Lung","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D002289","descriptor_name":"Carcinoma, Non-Small-Cell Lung","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"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":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung 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}],"locations_count":3,"locations":[{"id":"doi:10.1142/s0219720023500191","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219720023500191","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},{"id":"pmid:37694488","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37694488","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":"Journal of bioinformatics and computational biology","raw_type":null},{"id":"pmh:003160479","is_oa":true,"landing_page_url":"https://doi.org/10.1142/S0219720023500191","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"instacron:USP","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:003160479","is_oa":true,"landing_page_url":"https://doi.org/10.1142/S0219720023500191","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"instacron:USP","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.7599999904632568,"display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G1069944852","display_name":null,"funder_award_id":"2018/17996-5","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G1426530523","display_name":null,"funder_award_id":"P30-CA046592","funder_id":"https://openalex.org/F4320338333","funder_display_name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute"},{"id":"https://openalex.org/G3786992084","display_name":"Network statistics: theory, methods, and applications","funder_award_id":"18/21934-5","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G420469123","display_name":null,"funder_award_id":"NAF\\R1\\180002","funder_id":"https://openalex.org/F4320320241","funder_display_name":"Academy of Medical Sciences"},{"id":"https://openalex.org/G6721074988","display_name":"Elucidation of the molecular mechanism of recurrent and metastatic cancer using a breast cancer mouse model and establishment of a preventive method","funder_award_id":"23K18237","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G848064426","display_name":"Integrated Elucidation of Genome Mutation Heterogeneity and Stem Cell Hierarchy in Breast Cancer at the Single-Cell Level","funder_award_id":"21H02761","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8520321226","display_name":null,"funder_award_id":"306811/2022-7","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320308269","display_name":"Alexander von Humboldt-Stiftung","ror":"https://ror.org/012kf4317"},{"id":"https://openalex.org/F4320312420","display_name":"Newton Fund","ror":"https://ror.org/009twqt47"},{"id":"https://openalex.org/F4320320241","display_name":"Academy of Medical Sciences","ror":"https://ror.org/00c489v88"},{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338333","display_name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W87092222","https://openalex.org/W151377110","https://openalex.org/W1530226021","https://openalex.org/W1975120776","https://openalex.org/W1995450389","https://openalex.org/W2016381774","https://openalex.org/W2018516812","https://openalex.org/W2019841176","https://openalex.org/W2022686119","https://openalex.org/W2058063871","https://openalex.org/W2059279601","https://openalex.org/W2061736358","https://openalex.org/W2064452544","https://openalex.org/W2076231474","https://openalex.org/W2114570899","https://openalex.org/W2115157373","https://openalex.org/W2116723563","https://openalex.org/W2117853077","https://openalex.org/W2132914434","https://openalex.org/W2147200107","https://openalex.org/W2152789308","https://openalex.org/W2164988297","https://openalex.org/W2595326656","https://openalex.org/W2793125057","https://openalex.org/W2889326414"],"related_works":["https://openalex.org/W2111119584","https://openalex.org/W3186815950","https://openalex.org/W3088133960","https://openalex.org/W2607902515","https://openalex.org/W2040929534","https://openalex.org/W3168768270","https://openalex.org/W2371010743","https://openalex.org/W2393707058","https://openalex.org/W2311450085","https://openalex.org/W3162822291"],"abstract_inverted_index":{"Usually,":[0],"the":[1,5,34,41,79,101],"clustering":[2,43,52,63,93,102,135],"process":[3],"is":[4,33,83],"first":[6],"step":[7],"in":[8,51,72],"several":[9],"data":[10,32],"analyses.":[11],"Clustering":[12],"allows":[13],"identify":[14],"patterns":[15],"we":[16,48,88,125],"did":[17],"not":[18],"note":[19],"before":[20],"and":[21,59,70],"helps":[22],"raise":[23],"new":[24],"hypotheses.":[25],"However,":[26],"one":[27],"challenge":[28],"when":[29],"analyzing":[30],"empirical":[31],"presence":[35],"of":[36,55,113],"covariates,":[37],"which":[38],"may":[39,76],"mask":[40],"obtained":[42],"structure.":[44],"For":[45],"example,":[46],"suppose":[47],"are":[49],"interested":[50],"a":[53,91,108,123,127,130],"set":[54],"individuals":[56],"into":[57,68],"controls":[58],"cancer":[60,120],"patients.":[61,121],"A":[62],"algorithm":[64,94],"could":[65],"group":[66],"subjects":[67],"young":[69],"elderly":[71],"this":[73],"case.":[74],"It":[75],"happen":[77],"because":[78],"age":[80],"at":[81],"diagnosis":[82],"associated":[84],"with":[85,129],"cancer.":[86],"Thus,":[87],"developed":[89],"CEM-Co,":[90],"model-based":[92],"that":[95],"removes/minimizes":[96],"undesirable":[97],"covariates'":[98],"effects":[99],"during":[100],"process.":[103],"We":[104],"applied":[105],"CEM-Co":[106],"on":[107],"gene":[109],"expression":[110],"dataset":[111],"composed":[112],"129":[114],"stage":[115],"I":[116],"non-small":[117],"cell":[118],"lung":[119],"As":[122],"result,":[124],"identified":[126],"subgroup":[128],"poorer":[131],"prognosis,":[132],"while":[133],"standard":[134],"algorithms":[136],"failed.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
