Extended Data Fig. 4: Evaluation of cross-cell line imputation by different metrics.
From: Prediction of histone post-translational modification patterns based on nascent transcription data
(a-c) Heatmaps show Pearson’s correlation (A), Spearman’s rank correlation (B), Jensen-Shannon divergence. (c) between predicted and ChIP-seq measurements of nine histone modifications. Values are computed in 10 kb windows on the holdout chromosome (chr22) in humans, chr1 in horse, and chr1 in mice. Empty cells indicate that no experimental data is available for comparison in the cell type shown. (d) Heatmap shows Pearson’s correlation between the training dataset in K562 cells and experimental data collected in the indicated human cell line. Values are computed in 1 kb windows on the holdout chromosome (chr22) in humans. (e) Heatmap shows Pearson’s correlation between the ENCODE experimental data and either the imputed data or the average signal of the other human cell lines investigated. Values are computed in 1 kb windows on the holdout chromosome (chr22) in GM12878.
