Skip to main content
. 2017 Oct 16;18(Suppl 7):742. doi: 10.1186/s12864-017-4128-1

Table 4.

Jackknife results of the proposed SkipCPP-Pred and the state-of-the-art predictor CellPPD on the CPP924 dataset

Methods SE (%) SP (%) ACC (%) MCC
CellPPD-DC 83.3 90.7 87.0 0.745
CellPPD-BP 78.1 89.2 83.7 0.680
SkipCPP-Pred 88.5 92.6 90.6 0.812

Note that CellPPD-DC represents the dipeptide composition model of the CellPPD predictor, while CellPPD-BP represents the binary profile-based model of the CellPPD predictor