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BMCBI
2008

Stability of gene contributions and identification of outliers in multivariate analysis of microarray data

9 years 11 months ago
Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages compared to common gene-by-gene approaches. However, due to their exploratory nature, multivariate ordination methods do not allow direct statistical testing of the stability of genes. Results: In this study, we developed a computationally efficient algorithm for: i) the assessment of the significance of gene contributions and ii) the identification of sample outliers in multivariate analysis of microarray data. The approach is based on the use of resampling methods including bootstrapping and jackknifing. A statistical package of R functions was developed. This package includes tools for both inferring the statistical significance of gene contributions and identifying outliers among samples. Conclusion: The methodology was successfully applied to three published data sets with varying levels of signal intensiti...
Florent Baty, Daniel Jaeger, Frank Preiswerk, Mart
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where BMCBI
Authors Florent Baty, Daniel Jaeger, Frank Preiswerk, Martin M. Schumacher, Martin H. Brutsche
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