Skip to main content
. Author manuscript; available in PMC: 2021 Jul 14.
Published in final edited form as: Nat Biotechnol. 2021 Jul;39(7):809–810. doi: 10.1038/s41587-021-00881-z

Fig. 1 |. Higher throughput of proteomic analysis increases statistical power.

Fig. 1 |

As the number of samples analyzed per unit time increases, the cost per sample decreases. The increased throughput and reduced cost allow the analysis of more samples, which in turn increases the statistical power of many applications, such as discovering biomarkers and genetic associations. The higher throughput is particularly important for smaller effect sizes that may demand many thousands of samples to be adequately powered.