We prepared the distribution of expression changes along Ch5b by plotting the expression ratios Sor55/3153A of each gene to its position on Ch5b, Fig. 3.
The close correlation between gata3 and PKBβ/Akt2 was represented for all cell lines independently of the temporal profiles by plotting the expression levels of the 2 genes for all 22 array hybridisations (Fig. 4D).
Regression analysis was performed by plotting the expression values vs the number of mutated alleles using Graphpad Prism v5.03.
In the next paragraph, it is unclear what can be gleaned by plotting the expression level of a gene against the log obs/exp) value.
Our WGCNA identified 10 mRNA modules with highly significant coexpression patterns, which we graphically corroborated by plotting the expression levels for the top 10 genes with the strongest membership on alcohol-related modules (Additional file 1: Figure S3).
The transcriptome richness was graphically inspected by plotting the cumulative expression of the 1,000 most transcribed genes in each tissue, normalized on the total expression per tissue.
Optical bandgap of the films were determined by plotting the empirical expression (nαhν 1/2 versus hν, as shown in Figure 3, where n, α, and hν stand for the index of refraction, the absorption coefficient, and the photon energy, respectively.
The optical bandgap of the HfO2 was 5.3 eV in our work determined by plotting the empirical expression ( {left(mathrm{n}upalpha mathrm{h}upgamma right)}^{frac{1}{2}} ) versus hγ, as shown in Fig. 1(d), where n, α and hγ is the index of refraction, the absorption coefficient and the photon energy as described in Yang et al. [13].
By plotting the mean expression values for hTERT and cMyc in a series of separate WT1 transfections, we found a strong correlation, indicating a similar degree of inhibition.
We evenly divided these 98 miRNA families of Mh set into four quarters, Q1, Q2, Q3 and Q4, by an ascending order of conservation level, followed by plotting the logarithms of expression levels with a box plot.
We next shed light on the patterns found in Figure 4 by plotting the ratio of expression levels for genes in both focal tissues relative to that in the composite tissue (using the NOISeq RPKM analysis).
