Extended Data Fig. 3: Quantification of target discriminability for all 926 target pairs from all source regions.
From: Brain-wide correspondence of neuronal epigenomics and distant projections
a, Comparisons of AUROCs from models trained with gene features (x-axis) or 100 kb bin features (y-axis) using posterior mCH level (top) or mCH principal components (bottom) when splitting the training and testing data according to biological replicates (left) or computational replicates (right). b, Comparisons of AUROCs from models trained with mCH principal components (x-axis) or posterior mCH level (y-axis) using gene (top) or 100 kb bin (bottom) features when split the training and testing data according to biological replicates (left) or computational replicates (right). c, Comparisons of AUROCs from models when splitting the training and testing data according to biological replicates (x-axis) or computational replicates (y-axis) using gene (top) or 100 kb bin (bottom) features and posterior mCH level (left) or mCH principal components (right). For a-c, each dot represents a pairwise comparison between the neurons projecting from the same source to two different targets. The plots involving biological replicates have 516 data points each while the others have 926 data points each. Pearson Correlation Coefficient (PCC, r) and P value (permutation test) are labeled in each panel. d, The AUROC between neurons projecting from each of the 30 sources to all possible pairs of targets that have been profiled for the source. STR and CBX are not included since we only profiled one target for these sources.
