{"id":"https://openalex.org/W2167563801","doi":"https://doi.org/10.1186/1471-2105-9-361","title":"Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution","display_name":"Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution","publication_year":2008,"publication_date":"2008-09-02","ids":{"openalex":"https://openalex.org/W2167563801","doi":"https://doi.org/10.1186/1471-2105-9-361","mag":"2167563801","pmid":"https://pubmed.ncbi.nlm.nih.gov/18764936"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-9-361","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-9-361","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-9-361","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/counter/pdf/10.1186/1471-2105-9-361","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102924089","display_name":"Stefano Moretti","orcid":"https://orcid.org/0000-0003-3627-3257"},"institutions":[{"id":"https://openalex.org/I54696188","display_name":"National Cancer Research Institute","ror":"https://ror.org/02mp0vf47","country_code":"GB","type":"facility","lineage":["https://openalex.org/I54696188"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Stefano Moretti","raw_affiliation_strings":["Epidemiology and Biostatistics, National Cancer Research Institute, Genova, Italy. stefano.moretti@istge.it","Epidemiology and Biostatistics, National Cancer Research Institute, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Epidemiology and Biostatistics, National Cancer Research Institute, Genova, Italy. stefano.moretti@istge.it","institution_ids":["https://openalex.org/I54696188"]},{"raw_affiliation_string":"Epidemiology and Biostatistics, National Cancer Research Institute, Genova, Italy","institution_ids":["https://openalex.org/I54696188"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080876392","display_name":"Danitsja van Leeuwen","orcid":null},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Danitsja van Leeuwen","raw_affiliation_strings":["Department of Health Risk and Toxicology, Maastricht University, Maastricht, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Risk and Toxicology, Maastricht University, Maastricht, the Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039729502","display_name":"Hans Gmuender","orcid":null},"institutions":[{"id":"https://openalex.org/I2799341698","display_name":"Genedata (Switzerland)","ror":"https://ror.org/01yzrt577","country_code":"CH","type":"company","lineage":["https://openalex.org/I2799341698"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hans Gmuender","raw_affiliation_strings":["Genedata AG, Basel, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Genedata AG, Basel, Switzerland","institution_ids":["https://openalex.org/I2799341698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028649970","display_name":"Stefano Bonassi","orcid":"https://orcid.org/0000-0003-3833-6717"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefano Bonassi","raw_affiliation_strings":["Unit of Molecular Epidemiology, National Cancer Research Institute, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unit of Molecular Epidemiology, National Cancer Research Institute, Genova, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053509816","display_name":"Joost van Delft","orcid":null},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Joost van Delft","raw_affiliation_strings":["Department of Health Risk and Toxicology, Maastricht University, Maastricht, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Risk and Toxicology, Maastricht University, Maastricht, the Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111676146","display_name":"Jos Kleinjans","orcid":null},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jos Kleinjans","raw_affiliation_strings":["Department of Health Risk and Toxicology, Maastricht University, Maastricht, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Risk and Toxicology, Maastricht University, Maastricht, the Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033164576","display_name":"Fioravante Patrone","orcid":null},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fioravante Patrone","raw_affiliation_strings":["DIPTEM, University of Genova, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIPTEM, University of Genova, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020137513","display_name":"Domenico Franco Merlo","orcid":"https://orcid.org/0000-0002-1832-4754"},"institutions":[{"id":"https://openalex.org/I54696188","display_name":"National Cancer Research Institute","ror":"https://ror.org/02mp0vf47","country_code":"GB","type":"facility","lineage":["https://openalex.org/I54696188"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Domenico Franco Merlo","raw_affiliation_strings":["Epidemiology and Biostatistics, National Cancer Research Institute, Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Epidemiology and Biostatistics, National Cancer Research Institute, Genova, Italy","institution_ids":["https://openalex.org/I54696188"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5102924089"],"corresponding_institution_ids":["https://openalex.org/I54696188"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":1.1217,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.77721972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"1","first_page":"361","last_page":"361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.3653999865055084,"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":0.3653999865055084,"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":0.33180001378059387,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.03440000116825104,"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/statistics","display_name":"Statistics","score":0.56658536195755},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.4821157455444336},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44034823775291443},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4252965748310089},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.41627028584480286},{"id":"https://openalex.org/keywords/summary-statistics","display_name":"Summary statistics","score":0.41305768489837646},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.41303086280822754},{"id":"https://openalex.org/keywords/air-pollution","display_name":"Air pollution","score":0.4111972451210022},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.40126705169677734},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3558492064476013},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.3268381357192993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32580915093421936},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.31566697359085083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31076526641845703},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.2787289619445801},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25434234738349915},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.16074880957603455}],"concepts":[{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.56658536195755},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.4821157455444336},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44034823775291443},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4252965748310089},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.41627028584480286},{"id":"https://openalex.org/C32792767","wikidata":"https://www.wikidata.org/wiki/Q1370484","display_name":"Summary statistics","level":2,"score":0.41305768489837646},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.41303086280822754},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.4111972451210022},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40126705169677734},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3558492064476013},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.3268381357192993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32580915093421936},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.31566697359085083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31076526641845703},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.2787289619445801},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25434234738349915},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.16074880957603455},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000397","descriptor_name":"Air Pollution","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D000397","descriptor_name":"Air Pollution","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D000397","descriptor_name":"Air Pollution","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004781","descriptor_name":"Environmental Exposure","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D004781","descriptor_name":"Environmental Exposure","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D004781","descriptor_name":"Environmental Exposure","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D004781","descriptor_name":"Environmental Exposure","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004781","descriptor_name":"Environmental Exposure","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004781","descriptor_name":"Environmental Exposure","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004812","descriptor_name":"Epidemiologic Methods","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004812","descriptor_name":"Epidemiologic Methods","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004812","descriptor_name":"Epidemiologic Methods","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":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","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":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","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":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D018153","descriptor_name":"Czech Republic","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D018153","descriptor_name":"Czech Republic","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D018153","descriptor_name":"Czech Republic","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000032","qualifier_name":"analysis","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":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/1471-2105-9-361","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-9-361","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-9-361","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:18764936","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/18764936","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:cris.maastrichtuniversity.nl:openaire/c12fdc14-4cc4-4e49-bfb9-8e838ee746d3","is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/c12fdc14-4cc4-4e49-bfb9-8e838ee746d3","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Moretti, S, van Leeuwen, D, Gmuender, H, Bonassi, S, van Delft, J, Kleinjans, J, Patrone, F & Merlo, D F 2008, 'Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution', BMC Bioinformatics, vol. 9, no. 1, pp. 361. https://doi.org/10.1186/1471-2105-9-361","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:24fbb2c234fb4b8b9b2e5b23b390e2ac","is_oa":true,"landing_page_url":"https://doaj.org/article/24fbb2c234fb4b8b9b2e5b23b390e2ac","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 9, Iss 1, p 361 (2008)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:2556684","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2556684","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:10.1186/1471-2105-9-361","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-9-361","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-9-361","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/10","display_name":"Reduced inequalities","score":0.6100000143051147},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4000000059604645}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322315","display_name":"Karolinska Institutet","ror":"https://ror.org/056d84691"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2167563801.pdf","grobid_xml":"https://content.openalex.org/works/W2167563801.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1512630163","https://openalex.org/W1562353621","https://openalex.org/W1565751944","https://openalex.org/W1792175597","https://openalex.org/W1969949283","https://openalex.org/W1973614663","https://openalex.org/W1976927254","https://openalex.org/W1977373364","https://openalex.org/W1977556410","https://openalex.org/W1985862947","https://openalex.org/W1995945562","https://openalex.org/W2002333776","https://openalex.org/W2016381774","https://openalex.org/W2017977879","https://openalex.org/W2032531389","https://openalex.org/W2034269086","https://openalex.org/W2040217797","https://openalex.org/W2056371948","https://openalex.org/W2062353821","https://openalex.org/W2072023607","https://openalex.org/W2078301283","https://openalex.org/W2081822233","https://openalex.org/W2083417662","https://openalex.org/W2093241212","https://openalex.org/W2097557760","https://openalex.org/W2099111195","https://openalex.org/W2107438736","https://openalex.org/W2107598685","https://openalex.org/W2117327528","https://openalex.org/W2122683221","https://openalex.org/W2127938920","https://openalex.org/W2137088684","https://openalex.org/W2141407136","https://openalex.org/W2145013963","https://openalex.org/W2147457741","https://openalex.org/W2152491277","https://openalex.org/W2156025187","https://openalex.org/W2158973107","https://openalex.org/W2159751674","https://openalex.org/W2166902257","https://openalex.org/W2170989872","https://openalex.org/W2171280873","https://openalex.org/W2171675836","https://openalex.org/W2260938729","https://openalex.org/W2320520947","https://openalex.org/W2495436614","https://openalex.org/W2541820485","https://openalex.org/W3106889297","https://openalex.org/W3152026761","https://openalex.org/W4237961478","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2392243736","https://openalex.org/W86652014","https://openalex.org/W2328518092","https://openalex.org/W106077234","https://openalex.org/W2041374557","https://openalex.org/W2081929287","https://openalex.org/W2132561013","https://openalex.org/W2144348650","https://openalex.org/W1994852842","https://openalex.org/W4246178523"],"abstract_inverted_index":{"BACKGROUND:":[0],"In":[1,38,81],"gene":[2,9,96,141,168,191,234,256,265],"expression":[3,10,142,192,235,257,266,274,284],"analysis,":[4],"statistical":[5,163],"tests":[6],"for":[7,165,237,251],"differential":[8,167,255],"provide":[11],"lists":[12,171],"of":[13,25,59,73,113,130,172,189,214,228,254,268,276,304,313],"candidate":[14],"genes":[15,35,74,173,196,277,305],"having,":[16],"individually,":[17],"a":[18,64,86,114,120,161,225,269,291,302,307],"sufficiently":[19],"low":[20],"p-value.":[21],"However,":[22],"the":[23,41,57,71,91,98,105,110,140,158,187,204,211,215,229,252,272,283,311],"interpretation":[24,213,227],"each":[26,95],"single":[27],"p-value":[28],"within":[29],"complex":[30,314],"systems":[31],"involving":[32],"several":[33],"interacting":[34,60],"is":[36,107,126,135,221,261],"problematic.":[37],"parallel,":[39],"in":[40,62,75,143,199,233,301,310],"last":[42],"sixty":[43],"years,":[44],"game":[45,117],"theory":[46],"has":[47,97],"been":[48],"applied":[49,136,263],"to":[50,55,69,77,89,137,147,182,264,281,286],"political":[51],"and":[52,177,203,297],"social":[53],"problems":[54],"assess":[56],"power":[58,248],"agents":[61],"forcing":[63],"decision":[65],"and,":[66],"more":[67,222,247],"recently,":[68],"represent":[70],"relevance":[72,100,106],"response":[76,285],"certain":[78],"conditions.":[79],"RESULTS:":[80],"this":[82],"paper":[83],"we":[84],"introduce":[85],"Bootstrap":[87],"procedure":[88],"test":[90,164],"null":[92],"hypothesis":[93],"that":[94,210,244,299],"same":[99],"between":[101,217,294],"two":[102,219],"conditions,":[103],"where":[104,271],"represented":[108],"by":[109,153,175,201],"Shapley":[111,131],"value":[112,132],"particular":[115],"coalitional":[116,295],"defined":[118],"on":[119,186],"microarray":[121],"data-set.":[122],"This":[123],"method,":[124],"which":[125],"called":[127],"Comparative":[128],"Analysis":[129],"(shortly,":[133],"CASh),":[134],"data":[138],"concerning":[139],"children":[144],"differentially":[145],"exposed":[146,184,238],"air":[148,287],"pollution.":[149,288],"The":[150],"results":[151,159],"provided":[152,174],"CASh":[154,176,202,245,260],"are":[155,179,197],"compared":[156],"with":[157,306],"from":[160],"parametric":[162,205],"testing":[166],"expression.":[169],"Both":[170],"t-test":[178,250],"informative":[180],"enough":[181],"discriminate":[183],"subjects":[185],"basis":[188],"their":[190],"profiles.":[193],"While":[194],"many":[195],"selected":[198],"common":[200],"test,":[206],"it":[207],"turns":[208],"out":[209],"biological":[212,231],"differences":[216],"these":[218],"selections":[220],"interesting,":[223],"suggesting":[224],"different":[226],"main":[230],"pathways":[232],"regulation":[236,312],"individuals.":[239],"A":[240],"simulation":[241],"study":[242],"suggests":[243],"offers":[246],"than":[249],"detection":[253],"variability.":[258],"CONCLUSION:":[259],"successfully":[262],"analysis":[267],"data-set":[270],"joint":[273],"behavior":[275],"may":[278],"be":[279],"critical":[280],"characterize":[282],"We":[289],"demonstrate":[290],"synergistic":[292],"effect":[293],"games":[296],"statistics":[298],"resulted":[300],"selection":[303],"potential":[308],"impact":[309],"pathways.":[315]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
