For the Bodymap data set, all normalization methods yielded slightly lower percentages of commonly detected DEGs than in the case of the Cheung data set.
That method yielded slightly less juicy sausages, but it produced crunchy bits at the edges of the brats.
The kNN method yielded slightly better predictions than the PLS-R method but overall it was more important which input data were used than how the predictions were made.
Above a detection probability of 50%, the methods resulted in similar distributions of population estimates for the HC and medium clustered (MC) populations, but the DO method yielded slightly less variable population estimates than the DS method for the LC population.
In nearly all cases, the log-binomial method yielded slightly higher power and smaller standard errors than the Robust Poisson method.
Although CSMinfinder and Nakamura's method yielded slightly different regions with distinct boundaries in the output, each created regions of similar sizes.
The relationship was not exactly 1 1, instead the RP-HPLC method yielded slightly higher D/L Asx at values <0.34 relative to the GC method, but the difference was not significant and, therefore, no correction was applied.
Preparations of total RNA by TRIzol (method B) yield slightly higher amount of cRNA, generate a lower image background as measured by Q value, but have a higher 3'/5' GAPD ratio.
Because the methods yield a slightly different result, it's sometimes difficult to know if a stock is overvalued, undervalued, or fairly valued.
It has been found that when all newly developed identification methods are compared, they yield slightly different Utrans values.
