{"id":"https://openalex.org/W2138351929","doi":"https://doi.org/10.1109/bmei.2009.5305598","title":"A Principal Component Analysis Based Microarray Data Bi-Clustering Method","display_name":"A Principal Component Analysis Based Microarray Data Bi-Clustering Method","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2138351929","doi":"https://doi.org/10.1109/bmei.2009.5305598","mag":"2138351929"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2009.5305598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100447892","display_name":"Yanjie Zhang","orcid":"https://orcid.org/0000-0002-6400-0072"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjie Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Yantai University, China","School of Computer Science and Technology, Yantai Universiy"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Yantai University, China","institution_ids":["https://openalex.org/I18452120"]},{"raw_affiliation_string":"School of Computer Science and Technology, Yantai Universiy","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063574586","display_name":"V. Prinet","orcid":"https://orcid.org/0000-0002-7900-9782"},"institutions":[{"id":"https://openalex.org/I4210157642","display_name":"Institute of Automation","ror":"https://ror.org/056qj1t15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210157642","https://openalex.org/I78650965"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Veronique Prinet","raw_affiliation_strings":["CAS, Institute of Automation","National Laboratory of Pattern Recognition, Institute of Automation, CAS, China"],"affiliations":[{"raw_affiliation_string":"CAS, Institute of Automation","institution_ids":["https://openalex.org/I4210157642"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, CAS, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101002901","display_name":"Shuanhu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuanhu Wu","raw_affiliation_strings":["School of Computer Science and Technology, Yantai University, China","School of Computer Science and Technology, Yantai Universiy"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Yantai University, China","institution_ids":["https://openalex.org/I18452120"]},{"raw_affiliation_string":"School of Computer Science and Technology, Yantai Universiy","institution_ids":["https://openalex.org/I18452120"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":2,"citation_normalized_percentile":{"value":0.595473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":71,"max":75},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9996,"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":0.9996,"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":0.991,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9671,"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/concatenation","display_name":"Concatenation (mathematics)","score":0.6479971},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.5944552},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.42765442}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8548441},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.82209194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72282517},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6976105},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6479971},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5944552},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46120825},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.45017007},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.42765442},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.42505324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41416305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17138815},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.10097784},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.08133602},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06262237},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2009.5305598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":12,"referenced_works":["https://openalex.org/W1500731913","https://openalex.org/W2018843280","https://openalex.org/W2096142412","https://openalex.org/W2097169398","https://openalex.org/W2105041343","https://openalex.org/W2129936293","https://openalex.org/W2135000328","https://openalex.org/W2144544802","https://openalex.org/W2152055456","https://openalex.org/W2162491638","https://openalex.org/W2165011536","https://openalex.org/W2169541951"],"related_works":["https://openalex.org/W4387678054","https://openalex.org/W4378768646","https://openalex.org/W4306784355","https://openalex.org/W4246226292","https://openalex.org/W4221148444","https://openalex.org/W3095575180","https://openalex.org/W2389596151","https://openalex.org/W2373577936","https://openalex.org/W2169308097","https://openalex.org/W1988922486"],"abstract_inverted_index":{"Microarray":[0],"data":[1,52,90,104,110,144],"bi-clustering":[2],"is":[3,35,105,114,128],"very":[4],"helpful":[5],"for":[6,22],"the":[7,39,48,58,85,96,99,103,109,142],"research":[8],"on":[9,77,141],"gene":[10],"regulatory":[11],"mechanisms":[12],"analysis.":[13],"Genes":[14],"exhibiting":[15],"similar":[16],"expression":[17],"patterns":[18],"provide":[19],"useful":[20],"clues":[21],"studying":[23],"their":[24],"possible":[25],"functions.":[26],"In":[27],"this":[28,94],"paper":[29],"a":[30,68,112,120,135],"novel":[31],"bicluster":[32,113],"detection":[33],"method":[34,71,127],"proposed.":[36],"Compared":[37],"with":[38,47,57,117],"other":[40],"approaches,":[41],"biclusters":[42,62],"are":[43,55,64,145],"not":[44],"detected":[45,66],"directly":[46],"whole":[49],"given":[50],"experiment":[51,139],"matrix,":[53],"but":[54],"verified":[56],"concatenation":[59],"of":[60,84,98,102],"small":[61,132],"which":[63],"firstly":[65],"using":[67],"conventional":[69],"clustering":[70,91],"such":[72],"as":[73,79],"K-means":[74],"and":[75,87],"so":[76,78],"to":[80,130],"making":[81],"fully":[82],"use":[83],"rich":[86],"powerful":[88],"existing":[89],"methods.":[92],"By":[93],"way,":[95],"affect":[97],"high":[100],"dimensionality":[101],"greatly":[106],"reduced.":[107],"Since":[108],"within":[111],"highly":[115],"correlated":[116],"each":[118],"other,":[119],"principal":[121],"component":[122],"analysis":[123],"based":[124],"efficient":[125],"verification":[126],"applied":[129],"concatenate":[131],"biclusers":[133],"into":[134],"larger":[136],"one.":[137],"Some":[138],"results":[140],"simulated":[143],"presented.":[146]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2138351929","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2024-12-07T12:55:40.614156","created_date":"2016-06-24"}