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A Guide for Running Statistically Powered Clone-Screening Experiments
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This whitepaper explores how power analysis can help determine the optimal sample size for statistically powered clone screening experiments in bioreactors. Learn how to improve key performance indicators such as titer, rate, and yield while accounting for bioprocess variability.
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