Figure 5.

Prediction power of the SVM models using the signals from different subsets of chromatin features in the 100 nucleotides around the TSS (bin 1). The results are based on cross-validation with 100 trials. (a) ALL, all 21 chromatin features; H3, the two H3 features; HIS, the 11 chromatin modification features; XIF, the seven binding profile features for X-inactivation factors; POLII, the binding profile feature for RNA polymerase II. (b) HIS, the 11 chromatin modification features; H3K79ME, H3K79me1, H3K79me2 and H3K79me3; H3K9ME, H3K9me2, H3K9me3(Ab1) and H3K9me3(Ab2); H3K36ME, H3K36me2(Ab1), H3K36me2(Ab2) and H3K36me3; H3K4ME, H3K4me3 and H3K4me3.

Cheng et al. Genome Biology 2011 12:R15   doi:10.1186/gb-2011-12-2-r15
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