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Figure 4 | BMC Bioinformatics

Figure 4

From: MCMC implementation of the optimal Bayesian classifier for non-Gaussian models: model-based RNA-Seq classification

Figure 4

TCGA RNA-Seq classification. Average holdout errors were computed over 10,000 training sets and feature subsets using two types of lung cancer RNA-Seq data from TCGA. MP OBC with and without calibrated priors demonstrates superior performs across a range of training sample sizes. In addition, providing the MP OBC with calibrated priors does not appear to improve performance in this particular dataset.

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