Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2035
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dc.contributor.authorGohlmann, Hinrich W.-
dc.contributor.authorKass, Stefan U.-
dc.contributor.authorLewi, Paul J.-
dc.contributor.authorBIJNENS, Luc-
dc.contributor.authorWouters, Luc-
dc.contributor.authorMOLENBERGHS, Geert-
dc.date.accessioned2007-11-10T16:47:48Z-
dc.date.available2007-11-10T16:47:48Z-
dc.date.issued2005-
dc.identifier.citationBIOMETRICS, 61(2). p. 632-634-
dc.identifier.issn0006-341X-
dc.identifier.urihttp://hdl.handle.net/1942/2035-
dc.description.abstractThis note is in response to Wouters et al. (2003, Biometrics 59, 1131–1139) who compared three methods for exploring gene expression data. Contrary to their summary that principal component analysis is not very informative, we show that it is possible to determine principal component analyses that are useful for exploratory analysis of microarray data. We also present another biplot representation, the GE-biplot (Gene Expression biplot), that is a useful method for exploring gene expression data with the major advantage of being able to aid interpretation of both the samples and the genes relative to each other.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherBLACKWELL PUBLISHING-
dc.subject.otherbioinformatics; biplot; data visualization; GE biplot; gene expression data; microarray data; multivariate exploratory data analysis; principal component analysis; SVD-
dc.titleUse of principal component analysis and the GE-biplot for the graphical exploration of gene expression data - Reply-
dc.typeJournal Contribution-
dc.identifier.epage634-
dc.identifier.issue2-
dc.identifier.spage632-
dc.identifier.volume61-
local.format.pages3-
local.bibliographicCitation.jcatA1-
dc.description.notesLimburgs Univ Ctr, Ctr Stat, Transnatl Univ Limburg, B-3590 Diepenbeek, Belgium. Barrier Therapeut Nv, B-2440 Geel, Belgium. Johnson & Johson Pharmaceut Res & Dev, Div Janssen Pharmaceut NV, Ctr Mol Design, B-2340 Beerse, Belgium. Johnson & Johson Pharmaceut Res & Dev, Div Janssen Pharmaceut NV, Dept Genom Technol, B-2340 Beerse, Belgium. Johnson & Johson Pharmaceut Res & Dev, Div Janssen Pharmaceut NV, Dept Global Biometr & Reporting, B-2340 Beerse, Belgium.Wouters, L, Limburgs Univ Ctr, Ctr Stat, Transnatl Univ Limburg, Univ Campus,Gebouw D, B-3590 Diepenbeek, Belgium.-
local.type.refereedRefereed-
local.type.specifiedLetter-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1111/j.1541-0420.2005.00367.x-
dc.identifier.isi000229893900039-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
item.fullcitationGohlmann, Hinrich W.; Kass, Stefan U.; Lewi, Paul J.; BIJNENS, Luc; Wouters, Luc & MOLENBERGHS, Geert (2005) Use of principal component analysis and the GE-biplot for the graphical exploration of gene expression data - Reply. In: BIOMETRICS, 61(2). p. 632-634.-
item.validationecoom 2006-
item.contributorGohlmann, Hinrich W.-
item.contributorKass, Stefan U.-
item.contributorLewi, Paul J.-
item.contributorBIJNENS, Luc-
item.contributorWouters, Luc-
item.contributorMOLENBERGHS, Geert-
crisitem.journal.issn0006-341X-
crisitem.journal.eissn1541-0420-
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