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Figure 4 | BMC Bioinformatics

Figure 4

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

Figure 4

Improvement of classification accuracy using feature space graphical model. Each point shows the average classification accuracy over 10 repeated trials for 12 cells for fields of six cells each from two classes. The average accuracy for pairs of similar classes (), dissimilar classes by (□), and all classes () are shown. The best accuracies are obtained with α = 0.15 and d cutoff = 8. The accuracy of similar classes is improved by 9% (from 82.2% to 91.3%), while the accuracy of dissimilar classes is also improved 3% (from 95.3% to 98.5%). The overall accuracy is improved by the prior updating method by over 5%(from 90.1% to 95.7%).

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