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


Authors: Nilsson, B.; Håkansson, P.; Johansson, M.; Nelander, S.; Fioretos, T.
Article Title: Threshold-free high-power methods for the ontological analysis of genome-wide gene-expression studies
Abstract: Ontological analysis facilitates the interpretation of microarray data. Here 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. © 2007 Nilsson et al.; licensee BioMed Central Ltd.
Keywords: controlled study; methodology; gene expression; classification; analytic method; algorithms; simulation; gene expression regulation; genome analysis; gene expression regulation, neoplastic; correlation analysis; algorithm; microarray analysis; models, statistical; gene identification; data analysis; scoring system; intermethod comparison; genome; methods; computer program; software; statistical model; mathematical computing; technique; genetic database; analytical parameters
Journal Title: Genome Biology
Volume: 8
Issue: 5
ISSN: 1465-6906
Publisher: Biomed Central Ltd  
Date Published: 2007-01-01
Start Page: R74
Language: English
DOI: 10.1186/gb-2007-8-5-r74
PUBMED: 17488501
PROVIDER: scopus
PMCID: PMC1929143
DOI/URL:
Notes: --- - "Cited By (since 1996): 8" - "Export Date: 17 November 2011" - "CODEN: GNBLF" - "Source: Scopus"
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