Skip to main content
Figure 5 | BMC Bioinformatics

Figure 5

From: Boosting accuracy of automated classification of fluorescence microscope images for location proteomics

Figure 5

Selection 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