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We have evaluated the detection capability of the proposed new method for different signal-to-noise ratios (SNRs) and the results are presented in Figure $fig:results$ (See also the supplementary material for simulation details). In the simulations we randomly generate data according to the model $y_i = \beta \epsilon_i + \delta_i$. As shown in the figure, the proposed test has a good performance in the sense of being quite conservative. Indeed, the test detects the signal for all SNRs when the signal strength is large, and for all degrees of freedom when the signal strength is small. We note that the performance of the method is mainly limited by the finite sample sizes, which are usually small for real-world applications.

![ The lower triangles of panels correspond to the false-discovery rate of the proposed method. []{data-label=”fig:results”}](figures/DESeq_Normal_Y_iid_results

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