Threshold-free high-power methods for the ontological analysis of genome-wide gene expression studies

Summary, in English

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.

• Author: Björn Nilsson; Petra Johnels; Mikael Johansson; Sven Nelander; Thoas Fioretos
• Department/s: Department of Laboratory Medicine; Division of Clinical Genetics
• Publishing year: 2007
• Language: English
• Publication/Series: Genome Biology
• Volume: 8
• Issue: 5
• Links: http://dx.doi.org/10.1186/gb-2007-8-5-r74
• Document type: Journal article
• Publisher: BioMed Central (BMC)
• Topic: Medical Genetics
• Status: Published
• ISBN/ISSN/Other: ISSN: 1474-7596