The phrase "a normalization distribution" is not correct in English.
Did you mean "a normal distribution"? You can use the correct phrase when discussing statistical concepts related to probability and data analysis, particularly in the context of the normal distribution curve.
Example: "In statistics, a normal distribution is often used to represent real-valued random variables whose distributions are not known."
Alternatives: "a Gaussian distribution" or "a bell curve".
Since serum proteomics data usually follow or approximately follow a normal distribution after normalization, it is reasonable to use a two-sample t-test to rank each feature under a binary case.
Read counts were log2 transformed prior to quantile normalization to generate a normal distribution; analyses were carried out on subsequently untransformed counts.
We therefore corrected soft and hard data using n-scores normalization before analysis because a normal distribution is a necessary condition for accurate estimation by the BME (Yu et al. 2007).
After normalization, the empirical distributions of those statistical methods approximately follow a normal distribution with a small skew (Supplementary Figure S8).
Before normalization, the normal distribution and linear relations of Cy3 and Cy5 intensities were tested by qqplot and a linear regression model, respectively, in R statistical language.
Data were normalized using default settings for each of the four normalization strategies (see Additional file 12 for pre- and post-normalization distribution curves) and any genes with no read counts were removed prior to ANOVA analysis.
The product of the prior and likelihood gives (up to a normalization constant) the posterior distribution containing all information regarding the parameter C D consistent with the data and prior information.
In conclusion, all obtained results point toward DFBETA in combination with the regression approach TOT for outlier detection and a normalization based on the distribution of synonyms instead of the wild-type sequence only being the most reliable data processing steps that should be undertaken to filter sequencing errors.
We later derived the P-value of each test from the normal distribution after normalization.
Thus, to combine laboratory test results from different institutions, a normalization process, which transformed different distributions into identical distributions in statistical properties, was indispensable.
