{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T15:48:47Z","timestamp":1762444127451},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2016,10,2]],"date-time":"2016-10-02T00:00:00Z","timestamp":1475366400000},"content-version":"vor","delay-in-days":2877,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/2.0\/uk\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: As the use of microarrays in human studies continues to increase, stringent quality assurance is necessary to ensure accurate experimental interpretation. We present a formal approach for microarray quality assessment that is based on dimension reduction of established measures of signal and noise components of expression followed by parametric multivariate outlier testing.<\/jats:p>\n               <jats:p>Results: We applied our approach to several data resources. First, as a negative control, we found that the Affymetrix and Illumina contributions to MAQC data were free from outliers at a nominal outlier flagging rate of \u03b1=0.01. Second, we created a tunable framework for artificially corrupting intensity data from the Affymetrix Latin Square spike-in experiment to allow investigation of sensitivity and specificity of quality assurance (QA) criteria. Third, we applied the procedure to 507 Affymetrix microarray GeneChips processed with RNA from human peripheral blood samples. We show that exclusion of arrays by this approach substantially increases inferential power, or the ability to detect differential expression, in large clinical studies.<\/jats:p>\n               <jats:p>Availability: \u00a0http:\/\/bioconductor.org\/packages\/2.3\/bioc\/html\/arrayMvout.html and http:\/\/bioconductor.org\/packages\/2.3\/bioc\/html\/affyContam.html affyContam (credentials: readonly\/readonly)<\/jats:p>\n               <jats:p>Contact: \u00a0aasare@immunetolerance.org; stvjc@channing.harvard.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/btn591","type":"journal-article","created":{"date-parts":[[2008,11,18]],"date-time":"2008-11-18T01:13:50Z","timestamp":1226970830000},"page":"48-53","source":"Crossref","is-referenced-by-count":15,"title":["Power enhancement via multivariate outlier testing with gene expression arrays"],"prefix":"10.1093","volume":"25","author":[{"given":"Adam L.","family":"Asare","sequence":"first","affiliation":[{"name":"1 Immune Tolerance Network, University of California \u2013 San Francisco, San Francisco, CA 94143 and 2Channing Laboratory, Brigham and Woman's Hospital, Harvard Medical School, Boston, MA 02115, USA"}]},{"given":"Zhong","family":"Gao","sequence":"additional","affiliation":[{"name":"1 Immune Tolerance Network, University of California \u2013 San Francisco, San Francisco, CA 94143 and 2Channing Laboratory, Brigham and Woman's Hospital, Harvard Medical School, Boston, MA 02115, USA"}]},{"given":"Vincent J.","family":"Carey","sequence":"additional","affiliation":[{"name":"1 Immune Tolerance Network, University of California \u2013 San Francisco, San Francisco, CA 94143 and 2Channing Laboratory, Brigham and Woman's Hospital, Harvard Medical School, Boston, MA 02115, USA"}]},{"given":"Richard","family":"Wang","sequence":"additional","affiliation":[{"name":"1 Immune Tolerance Network, University of California \u2013 San Francisco, San Francisco, CA 94143 and 2Channing Laboratory, Brigham and Woman's Hospital, Harvard Medical School, Boston, MA 02115, USA"}]},{"given":"Vicki","family":"Seyfert-Margolis","sequence":"additional","affiliation":[{"name":"1 Immune Tolerance Network, University of California \u2013 San Francisco, San Francisco, CA 94143 and 2Channing Laboratory, Brigham and Woman's Hospital, Harvard Medical School, Boston, MA 02115, USA"}]}],"member":"286","published-online":{"date-parts":[[2008,11,16]]},"reference":[{"key":"2023013110084284100_B1","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1093\/bioinformatics\/19.2.185","article-title":"A comparison of normalization methods for high density oligonucleotide array data based on variance and bias","volume":"19","author":"Bolstad","year":"2003","journal-title":"Bioinformatics"},{"key":"2023013110084284100_B2","doi-asserted-by":"crossref","first-page":"355","DOI":"10.2307\/2347567","article-title":"Sequential application of wilks' multivariate outlier test","volume":"41","author":"Caroni","year":"1992","journal-title":"Appl. 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Biotechnol."}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/25\/1\/48\/48981919\/bioinformatics_25_1_48.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/25\/1\/48\/48981919\/bioinformatics_25_1_48.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T19:35:42Z","timestamp":1675193742000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/25\/1\/48\/304082"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,11,16]]},"references-count":12,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2009,1,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btn591","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2009,1,1]]},"published":{"date-parts":[[2008,11,16]]}}}