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We investigated the impact of sequence sample size on entropy calculations by random subsampling from a set of 499 sequences.
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Average profile across TSS used CEAS (Shin et al., 2009) after normalizing by random subsampling.
Libraries were normalized by random subsampling to contain the same number of reads (4,666 sequence reads per library).
The distance measurements between all pairs of control-1/16x MIC distributionsributions yield a distribution of test statistics values, resulting from random subsampling from the mother distributions (biological variability).
Random subsampling from all trials created 1000 bootstrap replicates for interactions with conspecific males and interactions with heterospecific males that were statistically independent (see Methods: Data analysis).
The validation sample is assumed to be a simple random subsample from the primary one.
In this sense, the matched sample can be treated as a random subsample from the mortgage sample.
To optimize model performance, we developed 100 replicate models of ecologic niches based on independent random subsamples from available occurrences.
Because random subsamples from individual temporal collections were typically small (<10 individuals), it was not possible to examine temporal and regional differences within years for microsatellites.
Once a negative pool is chosen, 50 classifiers are constructed for each TF using different random subsamples from the negative pool.
If X is MCAR, the set of individuals for whom X is observed is a simple random subsample from the sample, and hence also a simple random sample from the population.
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