{"id":"https://openalex.org/W2053351627","doi":"https://doi.org/10.1080/10543400903572746","title":"A Semiparametric Bayesian Approach for Estimating the Gene Expression Distribution","display_name":"A Semiparametric Bayesian Approach for Estimating the Gene Expression Distribution","publication_year":2010,"publication_date":"2010-03-19","ids":{"openalex":"https://openalex.org/W2053351627","doi":"https://doi.org/10.1080/10543400903572746","mag":"2053351627","pmid":"https://pubmed.ncbi.nlm.nih.gov/20309758","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/3045782"},"language":"en","primary_location":{"id":"doi:10.1080/10543400903572746","doi":"https://doi.org/10.1080/10543400903572746","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10543400903572746","pdf_url":null,"source":{"id":"https://openalex.org/S56946555","display_name":"Journal of Biopharmaceutical Statistics","issn_l":"1054-3406","issn":["1054-3406","1520-5711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Biopharmaceutical Statistics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3045782","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100782494","display_name":"Fei Zou","orcid":"https://orcid.org/0000-0002-6637-3593","observed_orcids":["https://orcid.org/0000-0002-6637-3593"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fei Zou","raw_affiliation_strings":["a Department of Biostatistics , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA","Department of Biostatistics , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"a Department of Biostatistics , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Biostatistics , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018496840","display_name":"Hanwen Huang","orcid":"https://orcid.org/0000-0003-2021-755X","observed_orcids":["https://orcid.org/0000-0003-2021-755X"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanwen Huang","raw_affiliation_strings":["a Department of Biostatistics , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA","Department of Biostatistics , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"a Department of Biostatistics , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Biostatistics , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078399867","display_name":"Joseph G. Ibrahim","orcid":"https://orcid.org/0000-0003-2428-6552","observed_orcids":["https://orcid.org/0000-0003-2428-6552"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph G. Ibrahim","raw_affiliation_strings":["a Department of Biostatistics , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA","Department of Biostatistics , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"a Department of Biostatistics , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Biostatistics , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100782494"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12351096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"20","issue":"2","first_page":"267","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9603999853134155,"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":0.9603999853134155,"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":0.031700000166893005,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.0019000000320374966,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gene-expression-distribution","display_name":"gene expression distribution","score":0.9509999752044678},{"id":"https://openalex.org/keywords/gene-expression-microarrays","display_name":"gene expression microarrays","score":0.8610000014305115},{"id":"https://openalex.org/keywords/sample-size-calculation","display_name":"sample size determination","score":0.875},{"id":"https://openalex.org/keywords/false-discovery-rate","display_name":"false discovery rate","score":0.8809999823570251},{"id":"https://openalex.org/keywords/parametric-mixture-models","display_name":"parametric mixture models","score":0.871999979019165},{"id":"https://openalex.org/keywords/effect-size-distribution","display_name":"effect size distribution","score":0.6439999938011169},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.6349999904632568},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8360000252723694},{"id":"https://openalex.org/keywords/mouse-lung","display_name":"mouse lung","score":0.9559999704360962}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.7394371032714844},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.661230206489563},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6284165382385254},{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.5598747730255127},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5528202652931213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5329378843307495},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5174820423126221},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47844982147216797},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4199322760105133},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.41575825214385986},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4105379581451416},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3649561405181885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.351590633392334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24802568554878235},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19633051753044128},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.12560933828353882},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.10311195254325867},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","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":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004195","descriptor_name":"Disease Models, Animal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008807","descriptor_name":"Mice, Inbred BALB C","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008810","descriptor_name":"Mice, Inbred C57BL","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011658","descriptor_name":"Pulmonary Fibrosis","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D013045","descriptor_name":"Species Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020022","descriptor_name":"Genetic Predisposition to Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1080/10543400903572746","doi":"https://doi.org/10.1080/10543400903572746","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10543400903572746","pdf_url":null,"source":{"id":"https://openalex.org/S56946555","display_name":"Journal of Biopharmaceutical Statistics","issn_l":"1054-3406","issn":["1054-3406","1520-5711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Biopharmaceutical Statistics","raw_type":"journal-article"},{"id":"pmid:20309758","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20309758","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,"listed_in":[],"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 biopharmaceutical statistics","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:3045782","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3045782","pdf_url":null,"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,"listed_in":[],"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"J Biopharm Stat","raw_type":"Text"},{"id":"pmh:cdr.lib.unc.edu:fn107563c","doi":null,"is_oa":true,"landing_page_url":"https://doi.org/10.17615/c6gn-en94","pdf_url":"https://cdr.lib.unc.edu/downloads/44558m584","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Biopharmaceutical Statistics, 20(2)","raw_type":"Article"},{"id":"doi:10.17615/c6gn-en94","doi":"https://doi.org/10.17615/c6gn-en94","is_oa":true,"landing_page_url":"https://doi.org/10.17615/c6gn-en94","pdf_url":null,"source":{"id":"https://openalex.org/S7407051488","display_name":"UNC Libraries","issn_l":null,"issn":null,"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:3045782","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3045782","pdf_url":null,"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,"listed_in":[],"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"J Biopharm Stat","raw_type":"Text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5724802649","display_name":"Robust Methods for Complex Trait Mapping with Collaborative Cross","funder_award_id":"R01GM074175","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G9000883576","display_name":"UNC Center for Environmental Health and Susceptibility","funder_award_id":"P30ES010126","funder_id":"https://openalex.org/F4320337361","funder_display_name":"National Institute of Environmental Health Sciences"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337361","display_name":"National Institute of Environmental Health Sciences","ror":"https://ror.org/00j4k1h63"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2053351627.pdf","grobid_xml":"https://content.openalex.org/works/W2053351627.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1581058135","https://openalex.org/W1590636096","https://openalex.org/W1698248478","https://openalex.org/W1988435012","https://openalex.org/W1991657237","https://openalex.org/W1995686259","https://openalex.org/W1997817781","https://openalex.org/W2053405531","https://openalex.org/W2062882942","https://openalex.org/W2065246942","https://openalex.org/W2069429561","https://openalex.org/W2074089196","https://openalex.org/W2076773771","https://openalex.org/W2079360233","https://openalex.org/W2079501320","https://openalex.org/W2080972498","https://openalex.org/W2089484716","https://openalex.org/W2091797506","https://openalex.org/W2092327318","https://openalex.org/W2117481031","https://openalex.org/W2120636621","https://openalex.org/W2123172482","https://openalex.org/W2133525788","https://openalex.org/W2141407136","https://openalex.org/W2146076957","https://openalex.org/W2154563407","https://openalex.org/W2157795344","https://openalex.org/W2158096909","https://openalex.org/W2159741108","https://openalex.org/W2163229341","https://openalex.org/W2182727157","https://openalex.org/W4233622718","https://openalex.org/W4249214388","https://openalex.org/W4294107304"],"related_works":["https://openalex.org/W7096519974","https://openalex.org/W2082100166","https://openalex.org/W7100825180","https://openalex.org/W7095098343","https://openalex.org/W2057275257","https://openalex.org/W2133525788","https://openalex.org/W2136434805","https://openalex.org/W7095576690","https://openalex.org/W1509760309","https://openalex.org/W7096653114"],"abstract_inverted_index":{"Gene":[0],"expression":[1,83],"microarrays":[2],"are":[3],"powerful":[4],"tools":[5],"for":[6,92],"global":[7],"comparison":[8],"and":[9,119,162],"estimation":[10],"of":[11,34,46,77,81,132,155],"gene":[12,82,133],"expression.":[13],"Many":[14],"microarray":[15,61],"studies":[16],"have":[17],"demonstrated":[18],"biologically":[19],"plausible":[20],"results":[21],"with":[22],"only":[23],"a":[24,29,32,43,60,121,144,163],"few":[25],"arrays,":[26],"leading":[27],"to":[28,51,58,69,98],"misperception":[30],"that":[31],"handful":[33],"hybridized":[35],"arrays":[36],"can":[37],"always":[38],"find":[39],"something":[40],"meaningful.":[41],"From":[42],"statistical":[44],"point":[45],"view,":[47],"it":[48],"is":[49,135,141,158],"important":[50],"prospectively":[52],"estimate":[53,73],"required":[54],"sample":[55,65,95],"sizes":[56,80],"prior":[57],"undertaking":[59],"experiment.":[62],"However,":[63],"all":[64],"size":[66,96],"calculations":[67],"need":[68],"directly":[70,97],"or":[71],"indirectly":[72],"the":[74,78,94,99,104,115,129,156],"unknown":[75],"distribution":[76,131],"effect":[79],"intensities.":[84],"A":[85],"parametric":[86,116,130],"mixture":[87,117,126],"model":[88,118],"has":[89],"been":[90],"developed":[91],"relating":[93],"false":[100],"discovery":[101],"rate":[102],"(FDR),":[103],"most":[105],"popular":[106],"multiple-comparison":[107],"control":[108],"criteria.":[109],"In":[110],"this":[111],"paper,":[112],"we":[113],"extend":[114],"propose":[120],"robust":[122],"semiparametric":[123],"Dirichlet":[124],"process":[125],"model,":[127],"where":[128],"expressions":[134],"no":[136],"longer":[137],"specified.":[138],"This":[139],"analysis":[140],"performed":[142],"in":[143],"Bayesian":[145],"inference":[146],"framework":[147],"using":[148],"Markov-chain":[149],"Monte":[150],"Carlo":[151],"steps.":[152],"The":[153],"usefulness":[154],"method":[157],"illustrated":[159],"by":[160],"simulations":[161],"real":[164],"murine":[165],"lung":[166],"study.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
