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At each generation the CSCs are selected by sampling without replacement, conditional probabilities are assigned, and the cell's behavior is determined.
Namely, 500 training datasets of size n are obtained by sampling without replacement the original dataset (of size N) such that each training set has n/2 subjects with each outcome.
We, therefore, developed an algorithm that creates subsets of m mtSNPs by sampling without replacement and equal probability each studied panel, while recording the best mtSNP combinations for every m value (the ones giving the maximum diversity values of H and HD).
Infants were assigned to the three different treatments by sampling without replacement from a block consisting of, to the investigator, unknown number of labels from each treatment group.
In the second type, each term, having the same size m, was obtained by sampling without replacement m genes from 𝒩.
Second, to best mimic our results, we selected the size of each region by sampling without replacement from the vector of detected regions sizes, found in Additional file 1: Table S3.
Similar(50)
For evaluation of different character embedding, we created our dataset by randomly sampling (without replacement) 50,000 positive and 50,000 negative instances to create a balanced dataset of 100,000 instances.
More specifically, we constructed artificial two-group comparisons with different numbers of replicates by randomly sampling without replacement two subsets of samples from a single sample group 10 times for each sample group.
We estimated maturation probability, m(a), at a given age, a, from the observed proportions, o(a), at that age (Barot et al. 2004): (1) Uncertainties in observed age readings were included in the model by randomly sampling without replacement fish from the distribution of observed individuals and adding 1 or 2 years to the recorded age according to the observed error probabilities.
Hypergeometric test, appropriate for sampling without replacement, was adopted by GOTM to determine whether those enrichments are statistically significant.
The chi-squared distribution represents an approximation of the exact probability of sampling without replacement, which is determined by the hypergeometric distribution.
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