Hi-C Chromatin Interaction Networks Predict Co-expression in the Mouse Cortex
Fig 4
Classification performance for the co-expression prediction based on intra-chromosomal chromatin interaction networks.
Each box encompasses the classifier performance in terms of AUC for all mouse chromosomes. Boxes are sorted based on their medians. The method that was used for computing the input feature set is given under each box. TSS or MAX refers to the mapping method for assigning Hi-C interaction between gene-pairs when the CIN is built. TSS + MAX refers to concatenated feature set of topological measures of CINs built using both TSS- and MAX-mapping methods. Multi-resolution refers to concatenated feature set of topological measures obtained from CINs at Hi-C resolutions of 40, 80, 120, 160, and 200kb. In each box, the horizontal line represents the median. The thick vertical line represents the interval of q1 = 25th and q3 = 75th percentiles. The thin vertical line represents the interval of q3 + 1.5(q3 − q1) and q1 − 1.5(q3 − q1). All the values shown in the figure are also available in S1 Table