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Fig. 7 | BMC Bioinformatics

Fig. 7

From: Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models

Fig. 7

The Up–down segmentation models are more robust than the heuristics from the bioinformatics literature HMCan and MACS. The mean of differences of the normalized information distance (NID) and its 95% CI are shown in red . If the mean of differences in NID is negative (left side of the blue indicator line ), the target segmentation model is more robust in average than HMCan (H3K36me3) or MACS (H3K4me3). The results of the paired t-test used to assess the difference of mean of NID are summarized in the following way: non significant (ns) means adjusted p-value \(>0.05\); * means adjusted p-value \(\le 0.05\); ** means adjusted p-value \(\le 0.01\)

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BMC Bioinformatics

ISSN: 1471-2105

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