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Fig. 9 | BMC Bioinformatics

Fig. 9

From: A tensor-based bi-random walks model for protein function prediction

Fig. 9

- ROC curves of seven methods using ten-fold cross validation. This Figure shows the ROC curves of RWRT and other six methods using ten-fold validation. The entire set of proteins is divided into ten equal sets randomly, nine of which are used for training and the remaining part is used for testing. The process is repeated 1000 times, each time using another testing set. a ROC curves of seven methods on the BioGRID dataset. b ROC curves of various methods on the DIP dataset

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