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In brief, the algorithm first distinguishes candidate interactions between a TF and its targets by estimating the expression pairwise mutual information (MI).
This was achieved first by estimating the expression level of each isoform contained in Ensembl database by cufflinks software version 2.0.2 (Trapnell et al., 2010) with following parameters: -G Mus_musculus.GRCm38.68.gtf -u -j 0.8 -m 160 -s 50 -N.
Apoptosis in the cavernosal tissues of Mn-treated mice was further assessed by estimating the expression levels of caspase-12 and caspase-3, two important activators for apoptosis signaling.
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We adjusted this baseline difference by estimating the difference between the expression levels of housekeeping genes common to the two datasets.
Consequently, by estimating the fractional and bilinear expressions in linear terms, we can change the solution space into a linear format, and the convexity of the solution space is certain.
The predictive role of p-p38 expression was evaluated by using ROC analysis, which was performed by estimating the percentage of p-p38 expression according to treatment response and all the patients with over 30%% were established as positive for p-p38 expression (data no shown).
Here, we made an attempt to clarify the factors related to erythromycin production by estimating the correlation between production and the expression profiles of coexpression modules.
Osteoblast differentiation was quantified by estimating the accumulation of mineralized matrix and expression of osteogenic genes.
We tested these predictions in Drosophila melanogaster by using genes with different levels of sex-biased expression and by estimating the extent of adaptive evolution of non-synonymous mutations from polymorphism and divergence data.
In this study, we first evaluated whether differences in genetic background between S and NS farm foxes (rather than genetic differences due to selection for tameness) may be responsible for the observed expression differences, by estimating the mtDNA divergence between S and NS lines.
p63 protein expression was scored by estimating the percentage of positive nuclei in tumor cells.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com