Figure 5From: Boosting accuracy of automated classification of fluorescence microscope images for location proteomicsSelection of feature subsets including Gabor and Daubechies features. Classifiers were trained using increasing numbers of features from the ranked list selected by SDA from either the 180-feature set including DNA features (filled circle) or the 174-feature set without DNA features (filled diamond) and performance evaluated by 10-fold cross validation. The classifiers used were the optimal majority-voting ensemble classifiers for SLF13 and SLF8 respectively (see Table 4).Back to article page