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Comparison of statistical methods for discovering significant reactions in simulated datasets. Four methods are evaluated: discovering active subnetworks using simulated annealing (Anneal) and greedy search (Greedy) [13], discovering significant individual reactions using Metastats [9], finding differentially abundant KEGGdefined pathways (KEGGPath), and MetaPath. Four datasets are created by varying the number of significant reactions n and their significances.
