{"id":"https://openalex.org/W2014066195","doi":"https://doi.org/10.1142/s021972000800345x","title":"SEMIPARAMETRIC CLUSTERING METHOD FOR MICROARRAY DATA ANALYSIS","display_name":"SEMIPARAMETRIC CLUSTERING METHOD FOR MICROARRAY DATA ANALYSIS","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2014066195","doi":"https://doi.org/10.1142/s021972000800345x","mag":"2014066195","pmid":"https://pubmed.ncbi.nlm.nih.gov/18464322"},"language":"en","primary_location":{"id":"doi:10.1142/s021972000800345x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021972000800345x","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005432115","display_name":"Ao Yuan","orcid":"https://orcid.org/0000-0002-8558-5604"},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]},{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA","US"],"is_corresponding":true,"raw_author_name":"AO YUAN","raw_affiliation_strings":["Department of Statistical and Actuarial Sciences, University of Western Ontario, London, Ontario, Canada","National Human Genome Center, Department of Community Health and Family Medicine, Howard University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistical and Actuarial Sciences, University of Western Ontario, London, Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"National Human Genome Center, Department of Community Health and Family Medicine, Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102906086","display_name":"Wenqing He","orcid":"https://orcid.org/0000-0002-8913-9273"},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]},{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"WENQING HE","raw_affiliation_strings":["Department of Statistical and Actuarial Sciences, University of Western Ontario, London, Ontario, Canada","National Human Genome Center, Department of Community Health and Family Medicine, Howard University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistical and Actuarial Sciences, University of Western Ontario, London, Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"National Human Genome Center, Department of Community Health and Family Medicine, Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005432115"],"corresponding_institution_ids":["https://openalex.org/I125749732","https://openalex.org/I137853757"],"apc_list":null,"apc_paid":null,"fwci":0.2693,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58417199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"06","issue":"02","first_page":"261","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9937000274658203,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9815000295639038,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7892663478851318},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.7397216558456421},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6882190108299255},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6431684494018555},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5768341422080994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5340532064437866},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5235443115234375},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46141278743743896},{"id":"https://openalex.org/keywords/bayesian-information-criterion","display_name":"Bayesian information criterion","score":0.42197513580322266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3457487225532532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24270537495613098},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23099765181541443}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7892663478851318},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.7397216558456421},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6882190108299255},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6431684494018555},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5768341422080994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5340532064437866},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5235443115234375},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46141278743743896},{"id":"https://openalex.org/C168136583","wikidata":"https://www.wikidata.org/wiki/Q1988242","display_name":"Bayesian information criterion","level":2,"score":0.42197513580322266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3457487225532532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24270537495613098},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23099765181541443},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","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":"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":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018709","descriptor_name":"Statistics, Nonparametric","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D046228","descriptor_name":"Microarray Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046228","descriptor_name":"Microarray Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046228","descriptor_name":"Microarray Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1142/s021972000800345x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021972000800345x","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:18464322","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/18464322","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1482639564","https://openalex.org/W1490441963","https://openalex.org/W1966737217","https://openalex.org/W1967053372","https://openalex.org/W1974781388","https://openalex.org/W1976969815","https://openalex.org/W1990860515","https://openalex.org/W2011832962","https://openalex.org/W2013807373","https://openalex.org/W2014268383","https://openalex.org/W2022686119","https://openalex.org/W2031919959","https://openalex.org/W2037723379","https://openalex.org/W2049633694","https://openalex.org/W2053742104","https://openalex.org/W2059279601","https://openalex.org/W2063698478","https://openalex.org/W2073767661","https://openalex.org/W2080412783","https://openalex.org/W2083904924","https://openalex.org/W2085572798","https://openalex.org/W2095897464","https://openalex.org/W2101948933","https://openalex.org/W2105725268","https://openalex.org/W2109970232","https://openalex.org/W2118020555","https://openalex.org/W2118727666","https://openalex.org/W2127218421","https://openalex.org/W2129905273","https://openalex.org/W2139193919","https://openalex.org/W2142635246","https://openalex.org/W2150926065","https://openalex.org/W2164500538","https://openalex.org/W2168175751","https://openalex.org/W2329341088","https://openalex.org/W4230727635","https://openalex.org/W4231029117","https://openalex.org/W4233014035","https://openalex.org/W4238717354"],"related_works":["https://openalex.org/W2096947471","https://openalex.org/W2011903341","https://openalex.org/W2013882407","https://openalex.org/W1981436518","https://openalex.org/W2281539319","https://openalex.org/W1485223389","https://openalex.org/W2164993559","https://openalex.org/W2794649148","https://openalex.org/W2040597492","https://openalex.org/W3021133747"],"abstract_inverted_index":{"Clustering":[0],"is":[1,54,149,162,208],"a":[2,28,107,146,156,211],"major":[3],"tool":[4],"for":[5,79,110],"microarray":[6,213],"gene":[7],"expression":[8],"data":[9,41,214],"analysis.":[10],"The":[11,23,112,127,189],"existing":[12],"clustering":[13],"methods":[14,25,46],"fall":[15],"mainly":[16],"into":[17],"two":[18],"categories:":[19],"parametric":[20,24,31,45,119],"and":[21,94,155,182],"nonparametric.":[22],"generally":[26],"assume":[27],"mixture":[29,35,89],"of":[30,118,168,172,185,199],"subdistributions.":[32,126],"When":[33],"the":[34,39,44,60,63,77,87,99,116,125,138,153,166,169,180,183,186,193,200,205],"distribution":[36],"approximately":[37],"fits":[38],"true":[40],"generating":[42],"mechanism,":[43],"perform":[47],"well,":[48],"but":[49,75],"not":[50,69],"so":[51],"when":[52],"there":[53],"nonnegligible":[55],"deviation":[56],"between":[57],"them.":[58],"On":[59],"other":[61],"hand,":[62],"nonparametric":[64],"methods,":[65],"which":[66],"usually":[67],"do":[68],"make":[70],"distributional":[71],"assumptions,":[72],"are":[73,129,176],"robust":[74],"pay":[76],"price":[78],"efficiency":[80],"loss.":[81],"In":[82],"an":[83,203],"attempt":[84],"to":[85,91,95,102,124,151,164,178,210,216],"utilize":[86],"known":[88],"form":[90,117],"increase":[92],"efficiency,":[93],"free":[96],"assumptions":[97,123],"about":[98],"unknown":[100],"subdistributions":[101,128],"enhance":[103],"robustness,":[104],"we":[105],"propose":[106],"semiparametric":[108],"method":[109,195,207],"clustering.":[111],"proposed":[113,187,194,206],"approach":[114],"possesses":[115],"mixture,":[120],"with":[121,132,145],"no":[122],"estimated":[130],"nonparametrically,":[131],"constraints":[133],"just":[134],"being":[135],"imposed":[136],"on":[137],"modes.":[139],"An":[140],"expectation-maximization":[141],"(EM)":[142],"algorithm":[143],"along":[144],"classification":[147],"step":[148],"invoked":[150],"cluster":[152,217],"data,":[154],"modified":[157],"Bayesian":[158],"information":[159],"criterion":[160],"(BIC)":[161],"employed":[163],"guide":[165],"determination":[167],"optimal":[170],"number":[171],"clusters.":[173],"Simulation":[174],"studies":[175],"conducted":[177],"assess":[179],"performance":[181],"robustness":[184],"method.":[188],"results":[190],"show":[191],"that":[192],"yields":[196],"reasonable":[197],"partition":[198],"data.":[201],"As":[202],"illustration,":[204],"applied":[209],"real":[212],"set":[215],"genes.":[218]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}