{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T10:42:03Z","timestamp":1742380923472},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Affymetrix high-density oligonucleotide microarrays measure the expression of DNA transcripts using probesets, i.e. multiple probes per transcript. Usually, these multiple measurements are transformed into a single probeset expression level before data analysis proceeds; any information on variability is lost. In this paper we demonstrate how individual probe measurements can be used in a statistic for differential expression. Furthermore, we show how this statistic can serve as a criterion for clustering microarrays.<\/jats:p>\n               <jats:p>Results: A novel clustering algorithm using this maximum significance criterion is demonstrated to be more efficient with the measured data than competing techniques for dealing with repeated measurements, especially when the sample size is small.<\/jats:p>\n               <jats:p>Availability: MATLAb source code can be found at<\/jats:p>\n               <jats:p>Contact: \u00a0D.deRidder@ewi.tudelft.nl<\/jats:p>","DOI":"10.1093\/bioinformatics\/bti788","type":"journal-article","created":{"date-parts":[[2005,11,23]],"date-time":"2005-11-23T01:24:56Z","timestamp":1132709096000},"page":"326-331","source":"Crossref","is-referenced-by-count":9,"title":["Maximum significance clustering of oligonucleotide microarrays"],"prefix":"10.1093","volume":"22","author":[{"given":"Dick","family":"de Ridder","sequence":"first","affiliation":[{"name":"Information and Communication Theory Group, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology 1 \u00a0 1 \u00a0 \u00a0 PO Box 5031, 2600 GA Delft, The Netherlands"},{"name":"Department of Immunology, Erasmus MC, University Medical Center 2 \u00a0 2 \u00a0 \u00a0 PO Box 1738, 3000 DR Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frank J. T.","family":"Staal","sequence":"additional","affiliation":[{"name":"Department of Immunology, Erasmus MC, University Medical Center 2 \u00a0 2 \u00a0 \u00a0 PO Box 1738, 3000 DR Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacques J. M.","family":"van Dongen","sequence":"additional","affiliation":[{"name":"Department of Immunology, Erasmus MC, University Medical Center 2 \u00a0 2 \u00a0 \u00a0 PO Box 1738, 3000 DR Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcel J. T.","family":"Reinders","sequence":"additional","affiliation":[{"name":"Information and Communication Theory Group, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology 1 \u00a0 1 \u00a0 \u00a0 PO Box 5031, 2600 GA Delft, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2005,11,22]]},"reference":[{"key":"2023012408322775500_b1","article-title":"Affymetrix Statistical Algorithms Description Document","author":"Affymetrix, Inc.","year":"2002"},{"key":"2023012408322775500_b2","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1093\/bioinformatics\/btg410","article-title":"A benchmark for Affymetrix GeneChip expression measures","volume":"20","author":"Cope","year":"2004","journal-title":"Bioinformatics"},{"key":"2023012408322775500_b3","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1038\/sj.leu.2403685","article-title":"Purity for clarity: the need for purification of tumor cells in DNA microarray studies","volume":"19","author":"de Ridder","year":"2005","journal-title":"Leukemia"},{"key":"2023012408322775500_b4","doi-asserted-by":"crossref","first-page":"1715","DOI":"10.1084\/jem.20042524","article-title":"New insights on human T cell development by quantitative T cell receptor gene rearrangement studies and gene expression profiling","volume":"201","author":"Dik","year":"2005","journal-title":"J. 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