Chunk #8 — Results — scCODA performs best in a benchmark of synthetic datasets

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scCODA is a Bayesian model for compositional single-cell data analysis.

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When increasing the expected FDR level of scCODA to 0.2, the model sensitivity increased at the cost of a higher false discovery rate, which is controlled by the nominal FDR level (Fig. 2c–e).