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. 2015 Jul 1;8:20. doi: 10.1186/s13040-015-0051-7

Fig. 4.

Fig. 4

Correlation between chromatin marks and gene expression values. (a) Cumulative proportion of variance explained by 50 eigenfunctions for protein-coding and non-coding RNAs in 26 histone modification and one histone variant ChIP-seq data sets. Values correspond to FPCA analysis in regions ± 5 kb around the TSSs for H1 hESC. (b) Pearson correlation between RPKM gene expression values and functional principal scores for each chromatin mark. X-axis is represented in log-scale