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Chunk #50 — Methods — Power analysis

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scCODA is a Bayesian model for compositional single-cell data analysis.
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To be able to estimate the required sample sizes for an intended MCC, we fitted a quasibinomial regression model with log-linker function using log sample size, log absolute change in cell count, log-fold change, and all pairwise interactions using the simulation results at different fixed FDR levels (FDR=[0.05, 0.1, 0.2]; Methods—“Simulation description”).