Sciweavers

Share
BMCBI
2010

Nonparametric methods for the analysis of single-color pathogen microarrays

10 years 1 months ago
Nonparametric methods for the analysis of single-color pathogen microarrays
Background: The analysis of oligonucleotide microarray data in pathogen surveillance and discovery is a challenging task. Target template concentration, nucleic acid integrity, and host nucleic acid composition can each have a profound effect on signal distribution. Exploratory analysis of fluorescent signal distribution in clinical samples has revealed deviations from normality, suggesting that distribution-free approaches should be applied. Results: Positive predictive value and false positive rates were examined to assess the utility of three well-established nonparametric methods for the analysis of viral array hybridization data: (1) Mann-Whitney U, (2) the Spearman correlation coefficient and (3) the chi-square test. Of the three tests, the chi-square proved most useful. Conclusions: The acceptance of microarray use for routine clinical diagnostics will require that the technology be accompanied by simple yet reliable analytic methods. We report that our implementation of the ch...
Omar J. Jabado, Sean Conlan, P. Lan Quan, Jeffrey
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2010
Where BMCBI
Authors Omar J. Jabado, Sean Conlan, P. Lan Quan, Jeffrey Hui, Gustavo Palacios, Mady Hornig, Thomas Briese, W. Ian Lipkin
Comments (0)
books