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Figure 6 | BMC Bioinformatics

Figure 6

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

Figure 6

Improvement in classification accuracy for simulated fields of cells using a physical space graphical model. Simulated fields containing clones of cells consisting of N1 cells from one class and N2 cells from a different class were created as described in the text for various values of D, the distance between the initial cells of each class. A class label was assigned to each cell in the simulation using the physical 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 for fields generated with D = 0 (), D = 6 (□), D = 12 (), and D = 400 (). Results except for N1 = 0 are for a d cutoff value of 6, the best value of those tested. Note that, as expected, the accuracy improves with increasing D.

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