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Chunk #67 — Methods — Runtime analysis

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scCODA is a Bayesian model for compositional single-cell data analysis.
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To benchmark the execution time and scalability of scCODA with the size of the data, we generated a collection of 800 datasets with an increasing number of cell types and samples (Methods—“Simulation description”). The generation parameters were chosen such that the typical dimensions of scRNA-seq datasets are covered by the benchmark.