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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Impact of adaptive filtering on power and false discovery rate in RNA-seq experiments

Fig. 1

Power comparison of different filters. Power values for several filtering methods and simulation strategies for \(\alpha =0.05\), \(\pi _0=0.8\), \(m=10000\), \(n_1=n_2=10\) (or \(n_1=n2=5\) for SimSeq (Bottomly)). The power of each filtering method is plotted as a function of the actual mean proportion of filtered genes across all simulation runs for the set of genes with at least one non-zero count; only the proportion of the basic filter is based on the total number of hypotheses m. The basic, Jaccard and no filter results are represented by a point because these methods are based on a fixed threshold

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