{"id":"https://openalex.org/W2106096333","doi":"https://doi.org/10.3233/isb-00148","title":"Efficient Two-Sample Designs for Microarray Experiments with Biological Replications","display_name":"Efficient Two-Sample Designs for Microarray Experiments with Biological Replications","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2106096333","doi":"https://doi.org/10.3233/isb-00148","mag":"2106096333","pmid":"https://pubmed.ncbi.nlm.nih.gov/15506995"},"language":"en","primary_location":{"id":"doi:10.3233/isb-00148","doi":"https://doi.org/10.3233/isb-00148","is_oa":true,"landing_page_url":"https://doi.org/10.3233/isb-00148","pdf_url":"https://journals.sagepub.com/doi/pdf/10.3233/ISB-00148?download=true","source":{"id":"https://openalex.org/S120694666","display_name":"In Silico Biology","issn_l":"1386-6338","issn":["1386-6338","1434-3207"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","medline","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"In Silico Biology: Journal of Biological Systems Modeling and Multi-Scale Simulation","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://journals.sagepub.com/doi/pdf/10.3233/ISB-00148?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089425343","display_name":"Jobst Landgrebe","orcid":"https://orcid.org/0000-0002-8391-7353","observed_orcids":["https://orcid.org/0000-0002-8391-7353"]},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jobst Landgrebe","raw_affiliation_strings":["Abteilung Biochemie II, Universit\u00e4t G\u00f6ttingen, Heinrich-D\u00f6ker-Weg 12,\r                    D-37073 G\u00f6ttingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Abteilung Biochemie II, Universit\u00e4t G\u00f6ttingen, Heinrich-D\u00f6ker-Weg 12,\r                    D-37073 G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085801098","display_name":"Frank Bretz","orcid":"https://orcid.org/0000-0002-2008-8340","observed_orcids":["https://orcid.org/0000-0002-2008-8340"]},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Bretz","raw_affiliation_strings":["LG Bioinformatik, Universit\u00e4t Hannover, Herrenh\u00e4user Str. 2, D-30419\r                    Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LG Bioinformatik, Universit\u00e4t Hannover, Herrenh\u00e4user Str. 2, D-30419\r                    Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015346778","display_name":"Edgar Brunner","orcid":"https://orcid.org/0000-0001-7119-8622","observed_orcids":["https://orcid.org/0000-0001-7119-8622"]},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Edgar Brunner","raw_affiliation_strings":["Abteilung Medizinische Statistik, Universit\u00e4t G\u00f6ttingen, Humboldtallee\r                    32, D-37073 G\u00f6ttingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Abteilung Medizinische Statistik, Universit\u00e4t G\u00f6ttingen, Humboldtallee\r                    32, D-37073 G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0719,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.70770906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":"4","issue":"4","first_page":"461","last_page":"470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9189000129699707,"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":0.9189000129699707,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.07699999958276749,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T13820","display_name":"SAS software applications and methods","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gene-expression-microarrays","display_name":"gene expression microarrays","score":0.6819999814033508},{"id":"https://openalex.org/keywords/biological-replicates","display_name":"biological replicates","score":0.7760000228881836},{"id":"https://openalex.org/keywords/incomplete-block-designs","display_name":"incomplete block designs","score":0.9229999780654907},{"id":"https://openalex.org/keywords/design-efficiency","display_name":"design efficiency","score":0.5870000123977661},{"id":"https://openalex.org/keywords/factorial-design","display_name":"factorial design","score":0.5149999856948853},{"id":"https://openalex.org/keywords/degrees-of-freedom","display_name":"degrees of freedom","score":0.8840000033378601},{"id":"https://openalex.org/keywords/mixed-effects-models","display_name":"mixed models","score":0.5070000290870667}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5823091864585876},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.5438693761825562},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5282018780708313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5087860226631165},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.47264546155929565},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.4536927342414856},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.44903564453125},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41973596811294556},{"id":"https://openalex.org/C208081375","wikidata":"https://www.wikidata.org/wiki/Q274502","display_name":"Degrees of freedom (physics and chemistry)","level":2,"score":0.41696983575820923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38212817907333374},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2981332540512085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2918165922164917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2212149202823639},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20362815260887146},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.11172372102737427},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.09246715903282166},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","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":"D012333","descriptor_name":"RNA, Messenger","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.3233/isb-00148","doi":"https://doi.org/10.3233/isb-00148","is_oa":true,"landing_page_url":"https://doi.org/10.3233/isb-00148","pdf_url":"https://journals.sagepub.com/doi/pdf/10.3233/ISB-00148?download=true","source":{"id":"https://openalex.org/S120694666","display_name":"In Silico Biology","issn_l":"1386-6338","issn":["1386-6338","1434-3207"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","medline","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"In Silico Biology: Journal of Biological Systems Modeling and Multi-Scale Simulation","raw_type":"journal-article"},{"id":"pmid:15506995","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/15506995","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":"In silico biology","raw_type":"Journal Article"},{"id":"mag:2106096333","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/15506995","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":null,"is_accepted":false,"is_published":false,"raw_source_name":"PubMed","raw_type":null}],"best_oa_location":{"id":"doi:10.3233/isb-00148","doi":"https://doi.org/10.3233/isb-00148","is_oa":true,"landing_page_url":"https://doi.org/10.3233/isb-00148","pdf_url":"https://journals.sagepub.com/doi/pdf/10.3233/ISB-00148?download=true","source":{"id":"https://openalex.org/S120694666","display_name":"In Silico Biology","issn_l":"1386-6338","issn":["1386-6338","1434-3207"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","medline","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"In Silico Biology: Journal of Biological Systems Modeling and Multi-Scale Simulation","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320882","display_name":"Volkswagen Foundation","ror":"https://ror.org/03bsmfz84"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2106096333.pdf","grobid_xml":"https://content.openalex.org/works/W2106096333.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W2002810210","https://openalex.org/W2062668721","https://openalex.org/W2120488121","https://openalex.org/W2162169788"],"related_works":["https://openalex.org/W148796769","https://openalex.org/W2133094193","https://openalex.org/W2612919263","https://openalex.org/W2162169788","https://openalex.org/W1972490957","https://openalex.org/W7100089552","https://openalex.org/W2516654987","https://openalex.org/W2283184477","https://openalex.org/W2009707536","https://openalex.org/W2762178732"],"abstract_inverted_index":{"In":[0,43,92],"the":[1,134,140,147],"last":[2],"years,":[3],"biostatistical":[4],"research":[5],"has":[6,81],"begun":[7],"to":[8,15,39,68,75,108,118],"apply":[9],"linear":[10],"models":[11],"and":[12,20,37,50,86,132,142],"design":[13],"theory":[14],"develop":[16],"efficient":[17,46,97,116],"experimental":[18,126],"designs":[19,47,98,138,151],"analysis":[21],"tools":[22],"for":[23,48,58,62,99,125],"gene":[24],"expression":[25],"microarray":[26,52],"data.":[27],"With":[28],"two-colour":[29,104],"microarrays,":[30],"direct":[31],"comparisons":[32],"of":[33,136,144,146],"RNA-targets":[34],"are":[35,66],"possible":[36],"lead":[38],"incomplete":[40],"block":[41],"designs.":[42],"this":[44,79,93,154],"setting,":[45],"simple":[49],"factorial":[51],"experiments":[53,102],"have":[54],"mainly":[55],"been":[56,83],"proposed":[57,152],"technical":[59],"replicates.":[60],"But":[61],"biological":[63,77,111],"replicates,":[64],"which":[65],"crucial":[67],"obtain":[69],"inference":[70],"that":[71],"can":[72,156],"be":[73,157],"generalised":[74],"a":[76],"population,":[78],"question":[80],"only":[82],"discussed":[84],"recently":[85],"is":[87],"not":[88],"fully":[89],"solved":[90],"yet.":[91],"paper,":[94],"we":[95],"propose":[96],"independent":[100],"two-sample":[101],"using":[103,159],"microarrays":[105],"enabling":[106],"biologists":[107],"measure":[109],"their":[110],"random":[112],"samples":[113],"in":[114,153],"an":[115],"manner":[117],"draw":[119],"generalisable":[120],"conclusions.":[121],"We":[122],"give":[123],"advice":[124],"situations":[127],"with":[128],"differing":[129],"group":[130],"sizes":[131],"show":[133],"impact":[135],"different":[137],"on":[139],"variance":[141],"degrees":[143],"freedom":[145],"test":[148],"statistics.":[149],"The":[150],"paper":[155],"evaluated":[158],"SAS":[160],"PROC":[161],"MIXED":[162],"or":[163],"S+/R":[164],"lme.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}