{"id":"https://openalex.org/W2045660925","doi":"https://doi.org/10.1089/106652703322756131","title":"Linear Models for Microarray Data Analysis: Hidden Similarities and Differences","display_name":"Linear Models for Microarray Data Analysis: Hidden Similarities and Differences","publication_year":2003,"publication_date":"2003-12-01","ids":{"openalex":"https://openalex.org/W2045660925","doi":"https://doi.org/10.1089/106652703322756131","mag":"2045660925","pmid":"https://pubmed.ncbi.nlm.nih.gov/14980016"},"language":"en","primary_location":{"id":"doi:10.1089/106652703322756131","is_oa":false,"landing_page_url":"https://doi.org/10.1089/106652703322756131","pdf_url":null,"source":{"id":"https://openalex.org/S78571599","display_name":"Journal of Computational Biology","issn_l":"1066-5277","issn":["1066-5277","1557-8666"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320443","host_organization_name":"Mary Ann Liebert, Inc.","host_organization_lineage":["https://openalex.org/P4310320443"],"host_organization_lineage_names":["Mary Ann Liebert, Inc."],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Biology","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018100435","display_name":"Kathleen F. Kerr","orcid":"https://orcid.org/0000-0002-6438-9583"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. Kathleen Kerr","raw_affiliation_strings":["Department of Biostatistics, University of Washington, Seattle, Washington 98195","Department of Biostatistics, University of Washington, Seattle, Washington 98195, USA. katiek@u.washington.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Washington, Seattle, Washington 98195","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Department of Biostatistics, University of Washington, Seattle, Washington 98195, USA. katiek@u.washington.edu","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018100435"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":2.1761,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.87234647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":"6","first_page":"891","last_page":"901"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9909999966621399,"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":0.9764999747276306,"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/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.6758068203926086},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.6265199184417725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5837987661361694},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47906216979026794},{"id":"https://openalex.org/keywords/microarray-databases","display_name":"Microarray databases","score":0.45824146270751953},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.41895967721939087},{"id":"https://openalex.org/keywords/gene-chip-analysis","display_name":"Gene chip analysis","score":0.410390704870224},{"id":"https://openalex.org/keywords/microarray","display_name":"Microarray","score":0.37909507751464844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22920769453048706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21098974347114563},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15775522589683533},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.09685301780700684},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.07163438200950623}],"concepts":[{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.6758068203926086},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.6265199184417725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5837987661361694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47906216979026794},{"id":"https://openalex.org/C548314002","wikidata":"https://www.wikidata.org/wiki/Q6839218","display_name":"Microarray databases","level":5,"score":0.45824146270751953},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.41895967721939087},{"id":"https://openalex.org/C24361400","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Gene chip analysis","level":5,"score":0.410390704870224},{"id":"https://openalex.org/C186836561","wikidata":"https://www.wikidata.org/wiki/Q1931516","display_name":"Microarray","level":4,"score":0.37909507751464844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22920769453048706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21098974347114563},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15775522589683533},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.09685301780700684},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.07163438200950623},{"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/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000704","descriptor_name":"Analysis of Variance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000704","descriptor_name":"Analysis of Variance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000704","descriptor_name":"Analysis of Variance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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}],"locations_count":3,"locations":[{"id":"doi:10.1089/106652703322756131","is_oa":false,"landing_page_url":"https://doi.org/10.1089/106652703322756131","pdf_url":null,"source":{"id":"https://openalex.org/S78571599","display_name":"Journal of Computational Biology","issn_l":"1066-5277","issn":["1066-5277","1557-8666"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320443","host_organization_name":"Mary Ann Liebert, Inc.","host_organization_lineage":["https://openalex.org/P4310320443"],"host_organization_lineage_names":["Mary Ann Liebert, Inc."],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Biology","raw_type":"journal-article"},{"id":"pmid:14980016","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/14980016","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":"Journal of computational biology : a journal of computational molecular cell biology","raw_type":null},{"id":"pmh:oai:biostats.bepress.com:uwbiostat-1013","is_oa":false,"landing_page_url":"https://biostats.bepress.com/uwbiostat/paper190","pdf_url":null,"source":{"id":"https://openalex.org/S4377196124","display_name":"Collection of Biostatistics Research Archive","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"UW Biostatistics Working Paper Series","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W162636959","https://openalex.org/W1499375494","https://openalex.org/W1514230952","https://openalex.org/W1514591821","https://openalex.org/W1553368037","https://openalex.org/W1969761972","https://openalex.org/W1970156673","https://openalex.org/W2002810210","https://openalex.org/W2013203169","https://openalex.org/W2019171859","https://openalex.org/W2028872086","https://openalex.org/W2053818267","https://openalex.org/W2062668721","https://openalex.org/W2074089196","https://openalex.org/W2093017030","https://openalex.org/W2100668965","https://openalex.org/W2105793531","https://openalex.org/W2120488121","https://openalex.org/W2125826355","https://openalex.org/W2126226510","https://openalex.org/W2133094193","https://openalex.org/W2133111499","https://openalex.org/W2157795344","https://openalex.org/W2162169788","https://openalex.org/W4229880569","https://openalex.org/W4294107304"],"related_works":["https://openalex.org/W2065186132","https://openalex.org/W2911678823","https://openalex.org/W2489437692","https://openalex.org/W2074092657","https://openalex.org/W1491323697","https://openalex.org/W1583052686","https://openalex.org/W2482247160","https://openalex.org/W2409078062","https://openalex.org/W1559715643","https://openalex.org/W2490137852"],"abstract_inverted_index":{"In":[0],"the":[1,19,36,47,69,72],"past":[2],"several":[3],"years":[4],"many":[5,21,29],"linear":[6,75],"models":[7,24,32],"have":[8,64],"been":[9],"proposed":[10],"for":[11],"analyzing":[12,41],"two-color":[13],"microarray":[14,42,60],"data.":[15,43],"As":[16],"presented":[17],"in":[18,59],"literature,":[20],"of":[22,30,35,49,51,74],"these":[23,31,52],"appear":[25],"dramatically":[26],"different.":[27],"However,":[28],"are":[33],"reformulations":[34],"same":[37],"basic":[38],"approach":[39],"to":[40],"This":[44],"paper":[45],"demonstrates":[46],"equivalence":[48],"some":[50],"models.":[53],"Attention":[54],"is":[55],"directed":[56],"at":[57],"choices":[58],"data":[61],"analysis":[62],"that":[63],"a":[65],"larger":[66],"impact":[67],"on":[68],"results":[70],"than":[71],"choice":[73],"model.":[76]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-10T00:00:00"}
