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The other metabolites identified in roots were less consistent and showed, with the exception of dehydroascorbic acid, negative fold changes (Fig. 4).
This was further confirmed through simple statistical calculations on PathVisio by querying (results not shown) for the number of genes with expression fold change ≤ 1 to denote those with negative fold change and down-regulation in 21 29 DAP (or up-regulation in 0 2 DAP).
For completeness, Table 2 shows the relevant genes with high negative fold-change values.
Positive fold-changes indicate up-regulation of genes in undifferentiated ESCs, while negative fold-changes indicate down-regulation.
Thus, we focused our attention to miRNAs which demonstrated the greatest positive and negative fold changes at each stage transition.
Using this method, a positive fold change would represent up-regulation of the sample gene compared to the calibrator; whereas a negative fold change would represent down-regulation of the sample gene compared to the calibrator.
In figure 4A, the negative fold-changes in the ratios of G+/G− indicated that the mRNA levels of the 5 genes were higher in the conidia incubated in G− compared to conidia incubated in G+.
The clustered data table file was viewed in TreeView[31] using the pixel setting contrast default of 3 and using blue and red to represent positive and negative fold-change expression values, respectively.
Negative fold difference values indicate resistant-associated clones.
In the case of negative fold changes below 1, the number was inverted to give a negative fold change.
A positive fold-change indicated upregulation, whereas a negative fold-change indicated downregulation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com