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Diagnostic robustness of DNA microarrays in the classification of acute leukemia Nature Precedings
Marie Loh; Adrian Mondry.
Countless statistical methods have been described for the analysis of DNA microarrays, and each yields distinct results. This raises the question whether DNA microarrays are robust diagnostic tools.

In order to address this issue, we compared five formally similar statistical tests for gene selection on a single data set derived from acute leukemia patients. Inter-test agreement of gene selection, of sample classification and with standard clinical diagnosis was calculated using Cohen's κ-score.

The inter-test agreement scores were 0.15 < κ < 0.68 for gene selection, and 0.60 < κ < 0.89 for sample classification....
Tipo: Manuscript Palavras-chave: Biotechnology; Cancer; Genetics & Genomics; Molecular Cell Biology; Pharmacology; Bioinformatics.
Ano: 2007 URL: http://precedings.nature.com/documents/1056/version/1
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DNA expression microarrays may be the wrong tool to identify biological pathways Nature Precedings
Adrian Mondry; Marie Loh; Alessandro Giuliani.
DNA microarray expression signatures are expected to provide new insights into patho- physiological pathways. Numerous variant statistical methods have been described for each step of the signal analysis. We employed five similar statistical tests on the same data set at the level of gene selection. Inter-test agreement for the identification of biological pathways in BioCarta, KEGG and Reactome was calculated using Cohen’s k- score. The identification of specific biological pathways showed only moderate agreement (0.30 < k < 0.79) between the analysis methods used. Pathways identified by microarrays must be treated cautiously as they vary according to the statistical method used.
Tipo: Manuscript Palavras-chave: Biotechnology; Genetics & Genomics; Molecular Cell Biology; Pharmacology; Bioinformatics.
Ano: 2007 URL: http://precedings.nature.com/documents/1036/version/1
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