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Figure 6 | Genome Biology

Figure 6

From: The importance of study design for detecting differentially abundant features in high-throughput experiments

Figure 6

Case studies of EDDA usage. (a) Predicted performance of DATs as a function of replicates (NR) and sequencing depth (ND) for a single cell RNA-seq experiment (Ramskold et al. [41]). Note that the vertical black dashed line indicates design choices in the original study. (b) Coefficient of variation for a panel of housekeeping genes from a NanoString experiment under different normalization approaches. (c) Separability of ER positive and negative samples under different normalization approaches. (d) Predicted performance of DATs as a function of replicates (NR) and sequencing depth (ND) for a Metagenomics experiment (Qin et al. [42]). Note that the vertical black and red dashed lines indicate design choices in the original study and using one-fifth of the original amount of sequencing.

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