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Threshold-free high-power methods for the ontological analysis of genome-wide gene expression studies
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Automatic Control.
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2007 (English)In: Genome Biology, ISSN 1474-760X, Vol. 8, no 5, R74- p.Article in journal (Refereed) Published
Abstract [en]

Ontological analysis facilitates microarray data interpretation. We describe new ontological analysis methods which, unlike existing approaches, are threshold-free and statistically powerful. We perform extensive evaluations and introduce a new concept, detection spectra, to characterize methods. We show that different ontological analysis methods exhibit distinct detection spectra, and that it is critical to account for this diversity. Our results argue strongly against the continued use of existing methods, and provide directions towards an enhanced approach.

Place, publisher, year, edition, pages
2007. Vol. 8, no 5, R74- p.
National Category
Biological Sciences
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URN: urn:nbn:se:kth:diva-37106DOI: 10.1186/gb-2007-8-5-r74ISI: 000246983100026PubMedID: 17488501Scopus ID: 2-s2.0-34548812620OAI: oai:DiVA.org:kth-37106DiVA: diva2:432127
Note

QC 20110801

Available from: 2011-08-01 Created: 2011-08-01 Last updated: 2016-12-13Bibliographically approved

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