Study and Application of Evaluating Methods of PPI Network Clustering
You Meng-l · 2013
The research in evaluating clustering results for PPI(Protein-Protein Interaction)network is the key to detect clustering results of function module in PPI network.The four typical methods evaluating clusters of PPI(proteinprotein interaction)network were introduced and analyzed in this paper,which are p-value,matching statistics,f-measure based on recall and precision and hF-measure based on hierarchical structure.Besides,considering the similarity between the main error classification and the cluster predicted,a new penalty function and the new Sf-measure evaluation method were put forward lately.The simulation results show the features of various evaluation methods and the rationality and effectivity of Sf-measure method.