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Figure 5 | BMC Bioinformatics

Figure 5

From: A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images

Figure 5

Improvement in classification accuracy for simulated fields of cells using a feature space graphical model. Simulated fields consisting of N1 cells from one class and N2 cells from a different class were generated as described in the text. A class label was assigned to each cell in the simulation using the feature space graphical model described in the text. The improvement in average classification accuracy over the base single cell classifier is shown as a function of N1, where N1+N2 = 12. Each point shows the average classification accuracy over 10 repeated trials for 12 cells for all possible pairs of classes. The average accuracy for pairs of similar classes (), dissimilar classes by (□), and all classes () are shown. Results except for N1 = 0 are for a d cutoff value of 8, the best value of those tested.

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