{"id":"https://openalex.org/W2910724416","doi":"https://doi.org/10.1186/s12859-018-2491-9","title":"Classical and Bayesian random-effects meta-analysis models with sample quality weights in gene expression studies","display_name":"Classical and Bayesian random-effects meta-analysis models with sample quality weights in gene expression studies","publication_year":2019,"publication_date":"2019-01-09","ids":{"openalex":"https://openalex.org/W2910724416","doi":"https://doi.org/10.1186/s12859-018-2491-9","mag":"2910724416","pmid":"https://pubmed.ncbi.nlm.nih.gov/30626315"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-018-2491-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-018-2491-9","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2491-9","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2491-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101891754","display_name":"Umaporn Siangphoe","orcid":"https://orcid.org/0000-0002-0560-6314"},"institutions":[{"id":"https://openalex.org/I1320320070","display_name":"United States Food and Drug Administration","ror":"https://ror.org/034xvzb47","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1320320070"]},{"id":"https://openalex.org/I1333606569","display_name":"Center for Drug Evaluation and Research","ror":"https://ror.org/00yf3tm42","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1320320070","https://openalex.org/I1333606569"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Uma Siangphoe","raw_affiliation_strings":["Office of Biostatistics, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA. siangphoeu@vcu.edu","Office of Biostatistics, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Office of Biostatistics, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA. siangphoeu@vcu.edu","institution_ids":["https://openalex.org/I1333606569"]},{"raw_affiliation_string":"Office of Biostatistics, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, USA","institution_ids":["https://openalex.org/I1320320070","https://openalex.org/I1333606569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070476953","display_name":"Kellie J. Archer","orcid":"https://orcid.org/0000-0003-1555-5781"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kellie J. Archer","raw_affiliation_strings":["Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio, USA","Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076202183","display_name":"Nitai D. Mukhopadhyay","orcid":"https://orcid.org/0000-0002-1530-9516"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nitai D. Mukhopadhyay","raw_affiliation_strings":["Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, USA","Department of Biostatistics, Virginia Commonwealth University, Richmond, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, USA","institution_ids":["https://openalex.org/I184840846"]},{"raw_affiliation_string":"Department of Biostatistics, Virginia Commonwealth University, Richmond, USA","institution_ids":["https://openalex.org/I184840846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101891754"],"corresponding_institution_ids":["https://openalex.org/I1320320070","https://openalex.org/I1333606569"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":0.2276,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.49848438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":"1","first_page":"18","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.5680000185966492,"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":0.5680000185966492,"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/T10206","display_name":"Meta-analysis and systematic reviews","score":0.14139999449253082,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.04740000143647194,"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/dna-microarray","display_name":"DNA microarray","score":0.6404322981834412},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6223196983337402},{"id":"https://openalex.org/keywords/random-effects-model","display_name":"Random effects model","score":0.5960906147956848},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.574656069278717},{"id":"https://openalex.org/keywords/meta-analysis","display_name":"Meta-analysis","score":0.5093370676040649},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.49443602561950684},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.47675690054893494},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.4733735918998718},{"id":"https://openalex.org/keywords/gene-expression-profiling","display_name":"Gene expression profiling","score":0.4227983355522156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42144253849983215},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3952937722206116},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3815534710884094},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.36042219400405884},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.3570990562438965},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3553743362426758},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3399382531642914},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17179429531097412},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.17003479599952698},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09812876582145691}],"concepts":[{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.6404322981834412},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6223196983337402},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.5960906147956848},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.574656069278717},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.5093370676040649},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.49443602561950684},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.47675690054893494},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.4733735918998718},{"id":"https://openalex.org/C18431079","wikidata":"https://www.wikidata.org/wiki/Q1502169","display_name":"Gene expression profiling","level":4,"score":0.4227983355522156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42144253849983215},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3952937722206116},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3815534710884094},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.36042219400405884},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.3570990562438965},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3553743362426758},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3399382531642914},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17179429531097412},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.17003479599952698},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09812876582145691},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","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":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","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":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015201","descriptor_name":"Meta-Analysis as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015201","descriptor_name":"Meta-Analysis as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015201","descriptor_name":"Meta-Analysis as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D016678","descriptor_name":"Genome","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D016678","descriptor_name":"Genome","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D016678","descriptor_name":"Genome","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-018-2491-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-018-2491-9","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2491-9","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:30626315","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30626315","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:5133485c3279440eae1cf47c976f85d5","is_oa":true,"landing_page_url":"https://doaj.org/article/5133485c3279440eae1cf47c976f85d5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 20, Iss 1, Pp 1-15 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5307250","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6327440","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-018-2491-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-018-2491-9","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2491-9","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G1150863008","display_name":null,"funder_award_id":"R01LM011169","funder_id":"https://openalex.org/F4320306080","funder_display_name":"Foundation for the National Institutes of Health"},{"id":"https://openalex.org/G1553769332","display_name":null,"funder_award_id":"R01 LM011169","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320306080","display_name":"Foundation for the National Institutes of Health","ror":"https://ror.org/00k86s890"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2910724416.pdf","grobid_xml":"https://content.openalex.org/works/W2910724416.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W71228264","https://openalex.org/W374166679","https://openalex.org/W656838156","https://openalex.org/W1533335653","https://openalex.org/W1546952499","https://openalex.org/W1636974729","https://openalex.org/W1967046314","https://openalex.org/W1968886567","https://openalex.org/W1978172027","https://openalex.org/W1981849943","https://openalex.org/W1987462684","https://openalex.org/W1989688078","https://openalex.org/W1990748933","https://openalex.org/W1998712640","https://openalex.org/W1999649023","https://openalex.org/W2025000087","https://openalex.org/W2030582688","https://openalex.org/W2047040382","https://openalex.org/W2054884879","https://openalex.org/W2056613924","https://openalex.org/W2100239923","https://openalex.org/W2105642898","https://openalex.org/W2106608030","https://openalex.org/W2106675691","https://openalex.org/W2108116635","https://openalex.org/W2110065044","https://openalex.org/W2114729479","https://openalex.org/W2116634113","https://openalex.org/W2128640268","https://openalex.org/W2132641702","https://openalex.org/W2140141449","https://openalex.org/W2141009231","https://openalex.org/W2146026944","https://openalex.org/W2148139839","https://openalex.org/W2152155643","https://openalex.org/W2154981570","https://openalex.org/W2158198121","https://openalex.org/W2158698691","https://openalex.org/W2160697532","https://openalex.org/W2161147823","https://openalex.org/W2161498177","https://openalex.org/W2168331993","https://openalex.org/W2172165869","https://openalex.org/W2180756421","https://openalex.org/W2315123323","https://openalex.org/W2467398568","https://openalex.org/W2544437330","https://openalex.org/W3104583603","https://openalex.org/W6662203318"],"related_works":["https://openalex.org/W2069695727","https://openalex.org/W1996185163","https://openalex.org/W2084813257","https://openalex.org/W2045929470","https://openalex.org/W2081127504","https://openalex.org/W2122223946","https://openalex.org/W4233500668","https://openalex.org/W1974145978","https://openalex.org/W1977867163","https://openalex.org/W2393426762"],"abstract_inverted_index":{"Random-effects":[0],"(RE)":[1],"models":[2,59,65,90,111,147,184,190,232,272,350],"are":[3],"commonly":[4],"applied":[5,40],"to":[6,24,43,122,145,170,200,321],"account":[7],"for":[8,139,220,235],"heterogeneity":[9,20,30,47],"in":[10,13,26,33,48,126,158,204,211,251,273,285],"effect":[11],"sizes":[12],"gene":[14,101,156,276],"expression":[15,102,277],"meta-analysis.":[16],"The":[17,130,152,193,215,327],"degree":[18],"of":[19,88,96,116,154,249,262,281,324,329,338,348,357,362],"may":[21,319],"differ":[22],"due":[23],"inconsistencies":[25],"sample":[27,330,358],"quality.":[28],"High":[29],"can":[31,333],"arise":[32],"meta-analyses":[34],"containing":[35],"poor":[36],"quality":[37,105,331],"samples.":[38,326],"We":[39,84],"sample-quality":[41],"weights":[42,332],"adjust":[44],"the":[45,49,61,86,89,97,146,159,165,171,176,180,201,205,212,228,244,247,254,259,263,270,274,279,290,293,307,339,346,349],"study":[46,108,296,310],"DerSimonian":[50],"and":[51,54,60,68,72,80,93,182,185,188,292,301,336,342,360],"Laird":[52],"(DSL)":[53],"two-step":[55],"DSL":[56],"(DSLR2)":[57],"RE":[58,128,341],"Bayesian":[62],"random-effects":[63],"(BRE)":[64],"with":[66,133,148,164,224,239,289],"unweighted":[67,202],"weighted":[69,77,81,124,167,173,178,195,271],"data,":[70,207,278],"Gibbs":[71],"Metropolis-Hasting":[73],"(MH)":[74],"sampling":[75],"algorithms,":[76],"common":[78],"effect,":[79],"between-study":[82,230],"variance.":[83],"evaluated":[85],"performance":[87,347],"through":[91],"simulations":[92],"illustrated":[94],"application":[95,328],"methods":[98],"using":[99],"Alzheimer\u2019s":[100,275,325],"datasets.":[103],"Sample":[104],"adjusting":[106],"within":[107],"variance":[109,231,297,311],"(wP6)":[110],"provided":[112],"an":[113],"appropriate":[114,138,219,234],"reduction":[115],"differentially":[117],"expressed":[118],"(DE)":[119],"genes":[120,142,223,238,250,283,304,317],"compared":[121,144,169],"other":[123,149],"functions":[125],"classical":[127,340],"models.":[129,298],"BRE":[131,177,264,343],"model":[132,168,197,203,265,312],"a":[134],"uniform(0,1)":[135],"prior":[136,150],"was":[137,162,266],"detecting":[140,221,236],"DE":[141,155,222,237,282,303],"as":[143],"distributions.":[151],"precision":[153,335],"detection":[157],"heterogeneous":[160,213],"data":[161,217,354],"increased":[163],"DSLR2wP6":[166],"DSLwP6":[172],"model.":[174],"Among":[175],"models,":[179],"wP6weighted-":[181],"unweighted-data":[183],"both":[186],"Gibbs-":[187],"MH-based":[189],"performed":[191,198,209,256],"similarly.":[192],"wP6":[194],"common-effect":[196],"similarly":[199],"homogeneous":[206],"but":[208],"worse":[210],"data.":[214],"wP6weighted":[216,229,294,308],"were":[218,233],"high":[225,240],"precision,":[226],"while":[227,258],"overall":[241,260],"accuracy.":[242],"Without":[243],"weight,":[245],"when":[246],"number":[248,280],"microarray":[252],"increased,":[253],"DSLR2":[255],"stably,":[257],"accuracy":[261,337],"reduced.":[267],"When":[268],"applying":[269],"decreased":[284],"all":[286],"metadata":[287],"sets":[288],"DSLR2wP6weighted":[291],"between":[295,309],"Four":[299],"hundred":[300],"forty-six":[302],"identified":[305],"by":[306],"could":[313],"be":[314],"potentially":[315],"down-regulated":[316],"that":[318],"contribute":[320],"good":[322],"classification":[323],"increase":[334],"models;":[344],"however,":[345],"varied":[351],"depending":[352],"on":[353],"features,":[355],"levels":[356],"quality,":[359],"adjustment":[361],"parameter":[363],"estimates.":[364]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}