{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T17:12:15Z","timestamp":1722013935713},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"17","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003,11,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Experimental limitations have resulted in the popularity of parametric statistical tests as a method for identifying differentially regulated genes in microarray data sets. However, these tests assume that the data follow a normal distribution. To date, the assumption that replicate expression values for any gene are normally distributed, has not been critically addressed for Affymetrix GeneChip data.<\/jats:p>\n               <jats:p>Results: The normality of the expression values calculated using four different commercial and academic software packages was investigated using a data set consisting of the same target RNA applied to 59 human Affymetrix U95A GeneChips using a combination of statistical tests and visualization techniques. For the majority of probe sets obtained from each analysis suite, the expression data showed a good correlation with normality. The exception was a large number of low-expressed genes in the data set produced using Affymetrix Microarray Suite 5.0, which showed a striking non-normal distribution. In summary, our data provide strong support for the application of parametric tests to GeneChip data sets without the need for data transformation.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btg311","type":"journal-article","created":{"date-parts":[[2003,11,20]],"date-time":"2003-11-20T17:37:50Z","timestamp":1069349870000},"page":"2254-2262","source":"Crossref","is-referenced-by-count":42,"title":["Normality of oligonucleotide microarray data and implications for parametric statistical analyses"],"prefix":"10.1093","volume":"19","author":[{"given":"Peter J.","family":"Giles","sequence":"first","affiliation":[]},{"given":"David","family":"Kipling","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2003,11,22]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/17\/2254\/48904636\/bioinformatics_19_17_2254.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/17\/2254\/48904636\/bioinformatics_19_17_2254.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T18:16:26Z","timestamp":1674670586000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/19\/17\/2254\/206088"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,11,22]]},"references-count":0,"journal-issue":{"issue":"17","published-print":{"date-parts":[[2003,11,22]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btg311","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2003,11,22]]},"published":{"date-parts":[[2003,11,22]]}}}