The uncertainty introduces fluctuations (noise) around mean expression levels so that the single protein level of the deterministic model broadens into a distribution of levels.
BitSeq probabilistically infers condition mean expression levels using all replicates.
Additional file 2: Post-induction mean expression levels for each gene.
To identify genes preferentially expressed in hyperplastic prostate cells, differences in mean expression levels were calculated.
After filtering, analysis of variance was applied to compare mean expression levels in each analysis.
Mean expression levels of all genes tested were obtained from triplicate real time PCR measurements.
The fold-change of the gene expression level was measured as the difference of mean expression levels between ESCs and EBs.
The mean expression levels in BPD deviated from the CON levels for β2S1 and β2S2, but not for β2S and β2L.
There was a strong correlation (R2 = 0.91, p = 5×10−6, Pearson correlation) between mean expression levels determined by the microarrays and the qPCR assays (Figure 4A).
Mean expression levels for each miRNA were compared for each time point between neurons and astrocytes using Student's t test.
The VEGF content and the mean expression levels of both VEGFR-2 and EPOR were positively correlated with MVD (Figure 3D).
