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Chunk #32 — Methods — Spike-and-slab threshold determination

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scCODA is a Bayesian model for compositional single-cell data analysis.
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To identify statistically credible effects, scCODA compares the posterior inclusion probability to a threshold c. As noted previously33,34, Bayesian variable selection methods must control for multiplicity, to avoid an inflated number of false-positive associations. To this end, we use a direct posterior probability approach9,35 to estimate the false discovery rate for a threshold value c.