Sentence examples for shuffle the samples from inspiring English sources

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To obtain empirical distributions, we first randomly shuffle the samples between groups, then calculate T-statistics in permuted samples, and finally merge T-statistics from all transcripts without any averaging as one whole empirical distribution.

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To shuffle the sample we consider two meadows of size n 1 and n 2 and we fill them randomly with the genets extracted from the original two meadows.

We generate empirical distributions by randomly shuffling the samples into two groups and calculate T-test statistics for each transcript in the permutated samples.

Second, to understand if the detected directionality I P Q between two meadows of size n 1 and n 2 is a sign of segregation or it is a random effect, we first measure the magnitude for the directionality index I P Q and then we measure it again after having shuffled the sample.

A permutation test is performed by randomly shuffling the sample labels, then calculating the fraction of times the original statistic is less or equal to the statistic generated by the permuted samples.

To achieve this, we shuffled the sample tags of the two groups, re-calculated the t-scores for all genes and repeated step 1 3 to obtain a permuted ps+ and a permuted ps-.

This a brilliant book to dip into for those times when we yearn to shuffle the seasons, sampling what lies ahead or lingering, later than the calendar permits, in a time of year just gone.

Chaotic shift keying mechanism is dynamically assigning different chaotic maps to different levels of sampled values for shuffling the speech samples at every level.

A chaotic shift keying mechanism assigns logistic map for L 0, tent map for L 1, quadratic map for L 2, and Bernoulli's map for L 3 for shuffling the speech samples at every level.

To assess the threshold for significance (Supplementary Fig. 1), a bootstrap method (Delorme and Makeig, 2004; Lv et al., 2007; McCubbin et al., 2008), which does not assume normal distribution of the observations, was applied by shuffling the time samples of GMFP prestimulus activity (from −300 to −50 ms) at the single-trial level and by calculating 500 surrogated prestimulus GMFP time-series.

Hurricanes shuffle the landscape.

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