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