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A summary of the observed mRNA fold change between the C-L and A-L samples of genes recognized as downstream transcriptional targets of p53 is given in Table 3.
A comparison of sequence diversity between the selection-candidates and the random genes as measured by nucleotide polymorphism, [20] and nucleotide diversity [21] indicated that the two samples of genes were not significantly different as evaluated by the Mann-Whitney (MW) test (θ, P = 0.4317; π, P = 0.8135).
The 4th column shows q-value derived from random samples of genes.
For the random subsets, ten random samples of genes containing ≥ 90% purity intronic STRs were subjected to HEAT analysis.
Hierarchical cluster heat maps of differential expression levels (log2) between the long-lived conditions versus normal control samples of genes that passed the 20% FDR cutoff (y-axis) vs. long-lived condition (x-axis) were generated using TM4 MultiExperiment Viewer.
To corroborate this calculate we performed a Mann–Whitney-Wilcoxon test to determine whether the two samples of genes (the whole genome and the HGT candidates) are the same, with respect to the number of introns in the genes.
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Samples of gene responses were validated by quantitative RT-PCR.
We used genome assemblies of bread wheat and five diploid relatives to analyze genome-wide samples of gene trees, as well as to estimate evolutionary relatedness and divergence times.
This library contains sequences from different strains of D. simulans and thus provides samples of gene variation in different populations.
In order to assess the significance of our predictions, we generate samples of gene expression values with this method using the control channel.
The most sophisticated published treatments for determination of significance use Bayesian probability methods, maximum likelihood procedures, or multiparameter fitting to analyze samples of gene expression data [ 4- 6].
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CEO of Professional Science Editing for Scientists @ prosciediting.com