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. 2021 Nov 25;12:6876. doi: 10.1038/s41467-021-27150-6

Fig. 1. Compositional data analysis in single-cell RNA-sequencing data.

Fig. 1

a Single-cell analysis of control and disease states of a human tissue sample. Disease states reflect changes in the cell-type composition. b Exemplary realization of the tested scenarios with high compositional log-fold change and low replicate number (n = 2 samples per group). Colored horizontal lines indicate statistically detected compositional changes between case and control for different methods. The error bars denote the 95% confidence interval around the mean. c The scCODA model structure with hyperparameters. Blue variables are observed. DirMult indicates a Dirichlet-Multinomial, N a Normal, logitN a Logit-Normal, and HC a Half-Cauchy distribution.