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Figure 7 | BMC Bioinformatics

Figure 7

From: baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data

Figure 7

Comparison of baySeq method's performance for different models in complex experimental designs. Mean FDR curves, based on 100 simulations, comparing the performance of the baySeq method in identifying differential expression of different types in an analysis of more complex experimental designs. The data are simulated from samples coming from three experimental conditions A, B and C, giving a total of five possible patterns of differential expression. We show here the false discovery rates for the identification of tuples where one experimental condition differs from the other two ({A1, ..., A n , B1, ... B n }{C1, ... C n }) and for the identification of tuples where all three experimental conditions are different ({A1, ..., A n }{B1, ... B n }{C1, ... C n }). We also show false discovery rates for the identification of tuples showing differential expression of any kind.

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