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. 2019 Jun 10;20:308. doi: 10.1186/s12859-019-2907-1

Table 8.

Performance results of 10-fold CV, using mixed positive and negative data from different datasets

PPI-MetaGO Other recent prediction tools
Dataset TPR FPR Prec ACC F-score MCC AUC TPR FPR Prec ACC F-score MCC AUC Tool

HS5(+)a

HS4(−)

0.811 0.031 0.893 0.932 0.850 0.808 0.971 0.730 0.054 0.808 0.894 0.766 0.700 0.932 HVSM

SC6(+)b

SC2(−)

0.810 0.155 0.858 0.826 0.832 0.656 0.901 0.819 0.204 0.824 0.811 0.822 0.621 0.891 DeepSequencePPI

TPR true positive rate, FPR false positive rate, Prec precision, ACC accuracy, MCC Matthews correlation coefficient, AUC area under ROC

HS Homo sapiens, SC Saccharomyces cerevisiae

aCombination of positive data from HS5 and negative data from HS4

bCombination of positive data from SC6 and negative data from SC2