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Figure 3 shows the average numbers of four sets of transcripts and their intersections: the set of transcripts with a simulated differential expression, one set of transcripts identified as differentially expressed for each of both models, and the set of transcripts, which were identified as connected with an attributable (larger than zero in terms of FDR) blending error variance.
The solubility assay (Novagen) was used to determine the relative proportions of soluble and insoluble material that were expressed for each of the constructs.
The ohnologs of differentially expressed genes were examined to see whether they belong to the same cluster, a different cluster, or were not identified as differentially expressed, for each of the three biological processes studied.
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The average doses of antidepressants (expressed for each antidepressant as percent of usual adult dose as recommended by PDR) were 142.1 ± 11.1% (mean ± SEM) in the CFS group and 119.6 ± 16.7% in the Well group, suggesting that the higher SDS scores in persons with CFS receiving antidepressants could not be accounted for by prescription of lower doses of antidepressants than in the control group.
The date of bud burst was expressed for each plant as the number of days since the beginning of forcing.
The fraction of cells classified as positive (number of positive cells/well divided by the total number of cells/well) was then expressed for each well as a measure of cytotoxicity.
We tabulated the numbers of transcripts differentially expressed for each pairwise comparison and the numbers of upregulated transcripts in the developmental stages that comprise each pair (Table 1).
The larger the sample and the larger the difference between the number of preferences expressed for each candidate, the greater the certainty with which the election result can be predicted.
They then constructed a statistical model of the corpus: a mathematical formula expressing, for each combination of the factors listed above, the ratio of the probabilities of the double object and the recipient-PP.
We compared the number and identity of differentially expressed genes for each of these approaches for both Workflows, the DESeq and edgeR analysis programs, and all normalization methods.
We first evaluated the rate of retention of ohnologs of differentially expressed genes for each of the WGD events (Table 4).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com