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Using deep maxout neural networks to improve the accuracy of function prediction from protein interaction networks

Fig 2

scores obtained by network embedding representations and the corresponding STRING2GO-learnt functional representations based on (a) Combinedscore, (b) Textmining, (c) Experimental, (d) Database and (e) Coexpression networks by using SVM or Sigmoid function over the 10-fold cross validation during the GO term-specific classifiers training stage.

Fig 2

doi: https://doi.org/10.1371/journal.pone.0209958.g002