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Fig. 1 | BMC Bioinformatics

Fig. 1

From: A full Bayesian partition model for identifying hypo- and hyper-methylated loci from single nucleotide resolution sequencing data

Fig. 1

For the loci uniquely identified to be hypo-methylated loci (group 1) or hyper-methylated loci (group 2) by either the proposed Bayesian method or logistic regression when applied to the real data, four panels are histograms of absolute difference for methylation proportion estimates between the case and control samples. These four panels correspond to the counts in Table 4 when FDR level for logistic regression is controlled at 0.05 level

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