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. 2023 Aug;33(8):1258–1268. doi: 10.1101/gr.277397.122

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© 2023 Bond et al.; Published by Cold Spring Harbor Laboratory Press

This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see https://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

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Figure 4. — Changes in chromatin features predict changes in chromatin looping. (A) R² multiplied by the sign of association for all possible features correlated individually against changes in all loops in the model (top). Heatmap (bottom) is a legend in which the feature, position, and measure for each bar are reported (features: A = ATAC, K = H3K27ac, J = JUN, C = CTCF, R = RAD21, T = RNA; positions: A = anchor, I = interior; measures: M = max, S = sum). (B) R² values calculated for the anchor only, interior only, or all feature models. (C) Scatterplot showing the predicted loop fold-change versus actual loop fold-change for the testing data set for looping. (Gray = static loops, teal = gained loops, maroon = lost loops, R² calculated for all loops included in the testing data set.)