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For example, QKI, MAP2 and BNC2 have an inverse expression relationship with all of their regulator miRNAs.
The second one will show the genes coexpressed with the gene that maintains the high-correlated expression relationship with the gene of interest.
We further examined whether miRNAs showed difference in expression relationship with their potential target genes/lincRNAs in tumor and normal tissues.
In addition, we found many miRNAs showed difference in expression relationship with their potential target lincRNAs in tumor and normal tissues.
A role for TRAIL has been implicated in particular types of cellular differentiation such as colonic epithelial cells through a reciprocal expression relationship with PKCε.
About one half predicted targets did not show the expected inverse expression relationship with miR level, but this result is not surprising.
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But in any case, the number of expression relationships with high correlation, as well as the number of linear expression relationships with respect to the nonlinear ones, will always depend on the nature of the experiments of the sample series.
If we consider a graph of all the nonlinear expression relationships with a high correlation, we obtain its cliques.
Of the predicted gene/lincRNA-miRNA pairs, 814 (~42%) show differences in expression relationships with a significant p-value for the GLM interaction factor (p < 0.05), including 121 (~57%) lincRNA-miRNA pairs (one example is shown in Figure 4a).
We first constructed a comprehensive dataset of eQTLs discovered in metabolically significant tissues by collecting all SNP gene expression relationships with genome-wide significance reported in liver and subcutaneous and omental adipose tissue [ 10, 11].
Next, we assessed the expression patterns of differentiation marker genes in order to understand when during the neuronal differentiation process their individual gene expression variance and co-expression relationship with associating genes changed.
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