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Fig. 6 | BMC Genomics

Fig. 6

From: On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

Fig. 6

Ranking of experimental scenarios based on the overall performance and cost. Performance ranking of RNA seq experiment design scenarios. Ranks are determined using a score that summarizes the overall performance of scenarios using empirical and simulated RNA seq data. In particular, five metrics were summarized: the inverse of the LFC estimate bias, standardized LFC for MYCN geneset (absolute value), concordance with reference scenario, one minus the actual FDR (at 5% nominal FDR level), and sensitivity (at 5% nominal FDR level). These metrics are standardized across scenarios, and then scenarios are ranked based on the average standard score across the metrics. The solid circles indicate the relative data generation cost of RNA sample preparation, library preparation and sequencing (relative to the corresponding cost from the reference scenario)

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