[HTML][HTML] Threshold-free high-power methods for the ontological analysis of genome-wide gene-expression studies
B Nilsson, P Håkansson, M Johansson, S Nelander… - Genome biology, 2007 - Springer
Genome biology, 2007•Springer
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 …
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 …
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.
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