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Fig. 7 | BMC Bioinformatics

Fig. 7

From: ClusterTAD: an unsupervised machine learning approach to detecting topologically associated domains of chromosomes from Hi-C data

Fig. 7

The analysis of the consistency between TADs identified by ClusterTAD and other methods on the two mouse cell lines. a Four different cases in which TADs detected by two different methods are compared with each other. Case A: This refers to the case in which the TAD identified in method B exactly matches those from another method A. The TADs detected by the two methods have the same boundaries. Case B: This refers to the case in which a TAD detected by method A contains two or more domains detected by method B. The smaller TADs detected by method B are called sub-TAD of the TAD detected by method A. Case C: This represents the conflicting case in which the domain detected by method A does not match or contain the domains detected by method B even though there is some overlap between them. Case D: This refers to the rare case in which the region is not assigned to a TAD by method A, but is assigned by a TAD by method B. b The percentage of TADs detected by ClusterTAD for the mESC cell line that were also detected by TopDom and DI. (c) The percentage of TADs detected by ClusterTAD for the mCortex cell line that were also detected by TopDom and DI

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