Sentence examples for datasets sampling from inspiring English sources

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Given the increasing availability of datasets sampling protein mutational spectra (e.g., from comparative genomics, experimental evolution, and computational prediction), methods based on coevolutionary criteria will likely become more promising in the near future.

Since the minimum (over the studied datasets) sampling frequency of driving records is nearly 1 Hz, the driver identification process was performed every minute, so that the number of records per feature in the identification task is at least 60.

Two independent runs of four Markov chains were conducted for 11 million generations for all datasets (sampling frequency was one tree per 100 generations for every datasets).

Two datasets (sampling design A: dense; sampling design B: sparse) were simulated using a pharmacokinetic model that included a binary covariate effect and subsequently re-estimated using (1) the same model and (2) a model not including the covariate effect in NONMEM 7.2.

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For studies with repeated-sampling design for plantations compared with natural forests, the datasets sampled in the last time were collected.

We then simulated a FST distribution between two datasets sampled 27 generations apart considering only the drift effect associated with the whole population estimated effective size (Ne).

DOI: http://dx.doi.org/10.7554/eLife.03125.013 10.7554/eLiFigure25.014 Figure 3 figure supplement 1. Recruitment and coverage plot of SUP05 viral genome fragments by Saanich Inlet datasets sampled in 2009, 2010, and 2011.

The values of the parameters are expected to differ depending on the dataset, sampling method and the classification algorithm.

Finally we ran the analysis on an empty dataset, sampling from the prior distribution to evaluate the influence of the priors on the posterior distribution estimates [ 103, 104].

It looks for the most possible distribution pattern of SFS under the constraints of given demographic parameter set that fits the real dataset sampled from the population.

Two separate MCMC chains were run for 108 generations for each dataset, sampled every 10,000th generation.

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