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These P values were then used in a multivariate permutation test in which the survival times and censoring indicators were randomly permuted among arrays [27], [30].
These p- values were then used in a multivariate permutation test [ 14, 15] in which the cell numbers were randomly permuted among the arrays.
The tests P-values were used in a multivariate permutation test (Korn et al., 2007) in which the traits were randomly permuted among arrays.
The multivariate permutation test was used to provide 90% confidence that the false discovery rate was less than 10%.
Although F-statistics were used for each gene, the multivariate permutation test is non-parametric and does not require the assumption of Gaussian distributions.
In addition, we identified CpG sites that were differentially methylated between tumor and adjacent tissue by using a multivariate permutation test [22] providing 90% confidence that the false discovery rate was less than 10%.
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Gene expression was assayed by microarray and 4157 differentially expressed genes (DEGs) were identified following ART using multivariate permutation tests.
In this paper we present an extension of the synchronized permutation tests for main factors and interaction introduced by Pesarin [2001. Multivariate Permutation Tests with Applications to Biostatistics. Wiley, Chichester] and Salmaso [2003. Synchronized permutation tests in factorial designs. Comm. Statist.
The following settings were employed: a univariate test random variance model, multivariate permutation tests with 10,000 random permutations, a confidence level of false discovery rate assessment = 99%, and a maximum allowed number of false-positive genes = 10.
Multivariate permutation tests were applied to estimate the proportion of false discoveries in the discovery list.
The p-values were applied to construct gene lists using multivariate permutation tests for controlling the number or proportion of false discoveries with 10,000 iterations.
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