Skip to main content
. 2019 Mar 29;47(9):4406–4417. doi: 10.1093/nar/gkz203

Figure 1.

Figure 1.

TriPepSVM schematic. TriPepSVM is a support vector machine trained on tri-peptide frequencies from RBPs and non-RBPs to discriminate between these two proteins. A protein-sequence is split into a set of overlapping k-mers. All of the k-mers of a sequence form a vector which is then fed into the SVM classifier that learns a decision boundary to separate RBPs from non-RBPs.