Gene-set enrichment analysis (GSEA) for Wnt and Notch signaling, as defined by the expression of Wnt or Notch target genes (see Methods) showed a decrease in the Wnt/Notch signaling ratio (strongly negative/positive normalized enrichment scores (NES)), which was specific for the basal stem/progenitor cells.
However, 68 genes were strongly up-regulated (normalized ratio > 1.4) and 115 were strongly down-regulated (normalized ratio < 0.80).
In this paper, we prove that, under some mild conditions, a time-normalized point process of exceedances by a nonstationary and strongly dependent normal sequence with a seasonal component converges in distribution to the in plane Cox process.
However, 68 genes were strongly up-regulated genes (normalized ratio > 1.4) and 115 were strongly down-regulated (normalized ratio <0.80) (Tables 3 and 4).
A non-maximum suppression and thresholding algorithm [29] is applied to the symmetry map S to localize the strongly symmetric points of the normalized image.
The size effect is demonstrated that the normalized image force strongly depends on the inhomogeneity size when it is in the range of several tens of nanometers, in contrast with the classical solution where this force is always constant.
WFA lectin strongly labeled unsupplemented control NMJs (normalized 1.0±0.05, n=8) but, similar to dGALT mutants, was strikingly reduced in larvae raised on a high-galactose diet (0.78±0.07; n=7, P=0.02).
While vinculin was identified in five different spots with both increasing and decreasing spot normalized volumes (which strongly indicates the presence of posttranslational modifications and the alterations of individual proteoforms), fermitin-3 was observed in one spot only.
(The distribution of normalized z-scores is strongly biased towards suppression, but with a long tail indicating over-expressed motifs, see Fig. S1).
Meyer et al. [ 15] strongly suggest selecting the optimal normalization method based on the characteristics of the data set, and then examining the normalized data carefully in specific biological contexts.
