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Additional file 6: of GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data

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posted on 2016-03-11, 05:00 authored by KĂŠvin Rue-Albrecht, Paul McGettigan, Belinda HernĂĄndez, Nicolas Nalpas, David Magee, Andrew Parnell, Stephen Gordon, David MacHugh
Comparison of the importance score from the random forest algorithm (i.e., the mean decrease in Gini index) to the F-ratio from a one-way ANOVA. Probesets with large importance score (i.e., good classifiers) generally show a high F-ratio, indicative of high variance among the means of each group compared to the variance within the samples. (PDF 1215 kb)

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Science Foundation Ireland

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