S6 Text: Pooling Data Sets Across Replicates
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چکیده
When using likelihood methods to quantify and to assess pooled data sets – thus assuming independence of dyads (S8 Text) – we explicitly allow m to vary across replicates while estimating a single RCP value in the likelihood-maximization process. When using bootstrap methods (S7 Text), as we do whenever individual-molecule data are available, we do not explicitly account for the possibility that m may vary across the replicate data sets. This may result in a slight enlargement of confidence intervals in the bootstrap process.
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