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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Predicting transcription factor site occupancy using DNA sequence intrinsic and cell-type specific chromatin features

Fig. 3

Regression results with cross cell line prediction. The bar plots reflect the prediction ability (Pearson’s correlation coefficient) of regression models trained on one cell line and tested on the same (cross-validation) or another cell line using four different feature sets on ENCODE peak lists. “Seq” consisted of sequence and annotation features; “Chromatin” features included DGF, various histone marks, PolII and co-factors (Rad21 for CTCF and FOSL1 for JunD); “All” included both of them, “All + Str” included structural features in addition to other features. Models for CTCF (a, c) and JunD (b, d) were alternatively trained on data from K562 (a, b) or H1hESC (c, d) cells

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