{"id":"https://openalex.org/W2238410310","doi":"https://doi.org/10.1186/s12859-015-0847-y","title":"A semi-parametric statistical model for integrating gene expression profiles across different platforms","display_name":"A semi-parametric statistical model for integrating gene expression profiles across different platforms","publication_year":2016,"publication_date":"2016-01-11","ids":{"openalex":"https://openalex.org/W2238410310","doi":"https://doi.org/10.1186/s12859-015-0847-y","mag":"2238410310","pmid":"https://pubmed.ncbi.nlm.nih.gov/26818110"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-015-0847-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-015-0847-y","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-015-0847-y","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/s12859-015-0847-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065957145","display_name":"Yafei Lyu","orcid":"https://orcid.org/0000-0002-0659-8045"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yafei Lyu","raw_affiliation_strings":["The Huck Institute of Life Science, Pennsylvania State University, University Park, PA, 16802, USA. yul199@psu.edu","The Huck Institute of Life Science, Pennsylvania State University, University Park, 16802, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Huck Institute of Life Science, Pennsylvania State University, University Park, PA, 16802, USA. yul199@psu.edu","institution_ids":[]},{"raw_affiliation_string":"The Huck Institute of Life Science, Pennsylvania State University, University Park, 16802, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029682068","display_name":"Qunhua Li","orcid":"https://orcid.org/0000-0003-0675-7648"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qunhua Li","raw_affiliation_strings":["Department of Statistics, Pennsylvania State University, University Park, PA, 16802, USA. qunhua.li@psu.edu","Department of Statistics, Pennsylvania State University, University Park, 16802, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Pennsylvania State University, University Park, PA, 16802, USA. qunhua.li@psu.edu","institution_ids":[]},{"raw_affiliation_string":"Department of Statistics, Pennsylvania State University, University Park, 16802, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029682068"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":1.196,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.7920988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"17","issue":"S1","first_page":"5","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9743000268936157,"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":0.9743000268936157,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.005100000184029341,"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":0.004999999888241291,"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":0.6170920133590698},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5468733310699463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5452854633331299},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.513032078742981},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.508394181728363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49027445912361145},{"id":"https://openalex.org/keywords/gene-expression-profiling","display_name":"Gene expression profiling","score":0.46929460763931274},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4221230745315552},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.34217044711112976},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.3104848861694336},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.24300718307495117},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.15826097130775452},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15068399906158447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14667150378227234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14021843671798706}],"concepts":[{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.6170920133590698},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5468733310699463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5452854633331299},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.513032078742981},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.508394181728363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49027445912361145},{"id":"https://openalex.org/C18431079","wikidata":"https://www.wikidata.org/wiki/Q1502169","display_name":"Gene expression profiling","level":4,"score":0.46929460763931274},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4221230745315552},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.34217044711112976},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.3104848861694336},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.24300718307495117},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.15826097130775452},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15068399906158447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14667150378227234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14021843671798706}],"mesh":[{"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","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":"D015203","descriptor_name":"Reproducibility of Results","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":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","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},{"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":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1186/s12859-015-0847-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-015-0847-y","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-015-0847-y","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:26818110","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26818110","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:pubmedcentral.nih.gov:4895261","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4895261","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-015-0847-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-015-0847-y","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-015-0847-y","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":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G107810981","display_name":null,"funder_award_id":"R01GM109453","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4047147563","display_name":null,"funder_award_id":"R01 GM109453","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G4778555584","display_name":null,"funder_award_id":"UL1 RR033184","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G5286077039","display_name":null,"funder_award_id":"UL1 RR033184","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5479771300","display_name":null,"funder_award_id":"UL1 TR002014","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"},{"id":"https://openalex.org/G5604060444","display_name":null,"funder_award_id":"R01GM109453","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G5954223626","display_name":null,"funder_award_id":"UL1 TR000127","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"}],"funders":[{"id":"https://openalex.org/F4320309370","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10"},{"id":"https://openalex.org/F4320310419","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320333182","display_name":"Huck Institutes of the Life Sciences","ror":null},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337375","display_name":"National Center for Research Resources","ror":"https://ror.org/04pw6fb54"},{"id":"https://openalex.org/F4320337472","display_name":"National Center for Advancing Translational Sciences","ror":"https://ror.org/04pw6fb54"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2238410310.pdf","grobid_xml":"https://content.openalex.org/works/W2238410310.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1533179050","https://openalex.org/W1544691147","https://openalex.org/W1970156673","https://openalex.org/W1981509058","https://openalex.org/W2002664737","https://openalex.org/W2006334069","https://openalex.org/W2010637767","https://openalex.org/W2017558877","https://openalex.org/W2034785171","https://openalex.org/W2050113778","https://openalex.org/W2061797748","https://openalex.org/W2064397275","https://openalex.org/W2064641822","https://openalex.org/W2081098333","https://openalex.org/W2081942683","https://openalex.org/W2095521407","https://openalex.org/W2102921564","https://openalex.org/W2107665951","https://openalex.org/W2114405789","https://openalex.org/W2121211805","https://openalex.org/W2129992480","https://openalex.org/W2130494035","https://openalex.org/W2131072552","https://openalex.org/W2131093545","https://openalex.org/W2138773756","https://openalex.org/W2139500071","https://openalex.org/W2149517369","https://openalex.org/W2152239989","https://openalex.org/W2154362705","https://openalex.org/W2161106528","https://openalex.org/W2165909549","https://openalex.org/W2170219300","https://openalex.org/W2172215633","https://openalex.org/W2247766769","https://openalex.org/W2259938310","https://openalex.org/W2900638853","https://openalex.org/W3104066961","https://openalex.org/W4247420482","https://openalex.org/W4300944962"],"related_works":["https://openalex.org/W2069695727","https://openalex.org/W1996185163","https://openalex.org/W2084813257","https://openalex.org/W2155094138","https://openalex.org/W2043690326","https://openalex.org/W2045929470","https://openalex.org/W4233500668","https://openalex.org/W2081127504","https://openalex.org/W1974145978","https://openalex.org/W1977867163"],"abstract_inverted_index":{"BACKGROUND:":[0],"Determining":[1],"differentially":[2],"expressed":[3],"genes":[4],"(DEGs)":[5],"between":[6,38],"biological":[7],"samples":[8],"is":[9,133],"the":[10,42,52,56,82,92,98,114,142,148],"key":[11],"to":[12,18,54,70,81,137,147],"understand":[13],"how":[14],"genotype":[15],"gives":[16],"rise":[17],"phenotype.":[19],"RNA-seq":[20,85],"and":[21,58,78,86,97,124,139,155,166,175],"microarray":[22,87],"are":[23],"two":[24,43,49],"main":[25],"technologies":[26],"for":[27],"profiling":[28],"gene":[29],"expression":[30,96],"levels.":[31],"However,":[32],"considerable":[33],"discrepancy":[34],"has":[35,51],"been":[36],"found":[37],"DEGs":[39,72,106,171],"detected":[40],"using":[41,73,119],"technologies.":[44],"Integration":[45],"data":[46,123,157],"across":[47,75,100],"these":[48],"platforms":[50],"potential":[53],"improve":[55],"power":[57,165],"reliability":[59],"of":[60,84,94,116,150],"DEG":[61],"detection.":[62],"METHODS:":[63],"We":[64,112],"propose":[65],"a":[66,125,162],"rank-based":[67],"semi-parametric":[68],"model":[69],"determine":[71],"information":[74],"different":[76],"sources":[77],"apply":[79],"it":[80],"integration":[83,131],"data.":[88,151],"By":[89],"incorporating":[90],"both":[91],"significance":[93],"differential":[95],"consistency":[99],"platforms,":[101],"our":[102,117,153,159],"method":[103,118,132],"effectively":[104],"detects":[105],"with":[107],"moderate":[108],"but":[109,144],"consistent":[110],"signals.":[111],"demonstrate":[113],"effectiveness":[115],"simulation":[120],"studies,":[121,158],"MAQC/SEQC":[122],"synthetic":[126],"microRNA":[127],"dataset.":[128],"CONCLUSIONS:":[129],"Our":[130],"not":[134],"only":[135],"robust":[136],"noise":[138],"heterogeneity":[140],"in":[141],"data,":[143],"also":[145],"adaptive":[146],"structure":[149],"In":[152],"simulations":[154],"real":[156],"approach":[160],"shows":[161],"higher":[163],"discriminate":[164],"identifies":[167],"more":[168],"biologically":[169],"relevant":[170],"than":[172],"eBayes,":[173],"DEseq":[174],"some":[176],"commonly":[177],"used":[178],"meta-analysis":[179],"methods.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
