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Fig. 2 | BMC Research Notes

Fig. 2

From: Power calculator for detecting allelic imbalance using hierarchical Bayesian model

Fig. 2

Variations in type I error (y-axis) are shown as a function of the number of biological replicates, or bioreps (x-axis) assuming different numbers of allele specific reads. H1 and H3 refer to the null hypothesis of allelic balance within a condition (H1) and the null hypothesis of equal levels of AI between the two conditions (H3). The Type I Error (y-axis) is computed as the proportion of simulations for which the Bayesian evidence against allelic balance within a condition or equal AI between conditions is \(<\) 0.05. Plots a and b show eight simulated values of the number (#) of allele specific reads, which is the sum of the reads that map unambiguously to an allele in the experiment. Plots c and d show four simulated values of the number (#) of allele specific reads per bioreps, which is the number of allele specific reads divided by the number of bioreps. \(\Delta AI\) is deviation from the null, i.e. deviation from allelic balance in condition (\({\Delta AI}_{1}\)) or the relative difference in the levels of allelic imbalance between the two conditions (\({\Delta AI}_{3}\))The probability of an allele specific read is ri,g1 = ri,g2 = 0.8 and there are 1000 simulations

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