Figure 6

Performance comparison of three function prediction methods. The prediction performance by precision-recall of our functional similarity-based probabilistic approach was compared to that of two competing methods: the FS weighted averaging method and the pattern-based prediction method. The methods could predict the different number of functions for each protein with a selected threshold. Each method then generated several different output sets by varying the threshold. We calculated the precision and recall of each output set. Our approach remarkably outperforms the annotation pattern-based method and has higher precision than the FS weighted averaging method when the recall is greater than 0.07.