Fig. 8: The Twins network shows distinct differential features in the absence of NIPBL or CTCF. | Nature Communications

Fig. 8: The Twins network shows distinct differential features in the absence of NIPBL or CTCF.

From: A deep learning method for replicate-based analysis of chromosome conformation contacts using Siamese neural networks

Fig. 8: The Twins network shows distinct differential features in the absence of NIPBL or CTCF.

a Aggregate features for the three groupings of clusters, `domain-like', `asymmetric domain-like' and `stripes'. b Counts of the number of differential features obtained from the ΔNIPBL and CTCF degron datasets split into three groups by cluster. Source data are provided as a Source data file. c Percentage of features from the different groups `domain-like', `asymmetric domain-like' and `stripes' for ΔNIPBL and CTCF degron datasets. Source data are provided as a Source data file.

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