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Table 4 Jackknife results of the proposed SkipCPP-Pred and the state-of-the-art predictor CellPPD on the CPP924 dataset

From: SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides

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

  1. 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
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BMC Genomics

ISSN: 1471-2164

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