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Figure 2 | BMC Bioinformatics

Figure 2

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

Figure 2

Decision boundaries of various classifiers for distinguishing the patterns of two Golgi proteins. A scatterplot of the two most informative features for distinguishing images of giantin (circle) and gpp130 (triangle). These were chosen from SLF7DNA by SDA. Various classifiers were trained using just these features and maps of the class assigned to various points in the feature plane by each trained classifier were created (a zero (white) pixel corresponded to gpp130). A false color map was created by combining the decision maps for exponential-rbf kernel SVM (green), the majority-voting ensemble classifier (red), and neural networks (blue).

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