{"id":"https://openalex.org/W919538277","doi":null,"title":"Application of resampling methods to estimate the number of clusters in gene expression data","display_name":"Application of resampling methods to estimate the number of clusters in gene expression data","publication_year":2006,"publication_date":"2006-09-30","ids":{"openalex":"https://openalex.org/W919538277","mag":"919538277"},"language":"en","primary_location":{"id":"mag:919538277","doi":null,"is_oa":false,"landing_page_url":"http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-article-BUJ5-0005-0031","pdf_url":null,"source":{"id":"https://openalex.org/S2764737260","display_name":"Theoretical and Applied Informatics","issn_l":"1896-5334","issn":["1896-5334","2300-889X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Theoretical and Applied Informatics","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5045740283","display_name":"Katarzyna St\u0105por","orcid":"https://orcid.org/0000-0003-3003-6592","observed_orcids":["https://orcid.org/0000-0003-3003-6592"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Katarzyna Sta\u0327por","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3003-6592","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5045740283"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"2","first_page":"109","last_page":"122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.5570999979972839,"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":0.5570999979972839,"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":0.44020000100135803,"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":0.001500000013038516,"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/number-of-clusters-estimation","display_name":"optimal number of clusters","score":0.8489999771118164},{"id":"https://openalex.org/keywords/resampling","display_name":"resampling","score":0.8930000066757202},{"id":"https://openalex.org/keywords/clustering-stability","display_name":"clustering stability","score":0.9789999723434448},{"id":"https://openalex.org/keywords/discriminant-analysis","display_name":"discriminant analysis","score":0.9710000157356262},{"id":"https://openalex.org/keywords/gene-expression-data","display_name":"gene expression data","score":0.9629999995231628},{"id":"https://openalex.org/keywords/cancer-microarray-data","display_name":"cancer microarray data","score":0.7639999985694885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8362244367599487},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8118016719818115},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.620047926902771},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4854207932949066},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.47810834646224976},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.47694602608680725},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.42642539739608765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4148217737674713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3558868169784546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3508613109588623},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:919538277","doi":null,"is_oa":false,"landing_page_url":"http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-article-BUJ5-0005-0031","pdf_url":null,"source":{"id":"https://openalex.org/S2764737260","display_name":"Theoretical and Applied Informatics","issn_l":"1896-5334","issn":["1896-5334","2300-889X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Theoretical and Applied Informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1971784203","https://openalex.org/W2030644393","https://openalex.org/W2109363337","https://openalex.org/W2147246240","https://openalex.org/W2316811577","https://openalex.org/W2416999725","https://openalex.org/W3203165331"],"related_works":["https://openalex.org/W3203165331","https://openalex.org/W1886306325","https://openalex.org/W2146261447","https://openalex.org/W7095912918","https://openalex.org/W1982030926","https://openalex.org/W1548779692","https://openalex.org/W2013809387","https://openalex.org/W9633739","https://openalex.org/W7095769061","https://openalex.org/W2059339162"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"evaluated":[4],"the":[5,13,28,34,37],"two":[6],"recently":[7],"emerged":[8],"resampling-based":[9],"methods":[10,43],"for":[11],"estimation":[12],"number":[14],"of":[15,30],"clusters":[16],"(if":[17],"any)":[18],"in":[19],"a":[20],"dataset.":[21],"The":[22],"first":[23],"method":[24],"is":[25],"based":[26],"on":[27],"concept":[29],"clustering":[31],"stability":[32],"while":[33],"second":[35],"utilizes":[36],"ideas":[38],"from":[39,52],"discriminant":[40],"analysis.":[41],"These":[42],"are":[44],"compared":[45],"using":[46],"simulated":[47],"and":[48],"gene":[49],"expression":[50],"data":[51],"cancer":[53],"microarray":[54],"studies.":[55]},"counts_by_year":[],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2016-06-24T00:00:00"}
