Measurements in general can be influenced by many factor such as calibration of the acquistion instruments, day to day variability and other factors such as different source material etc.
Quantile normalization will help to correct for this variability based on the assumption that all data are measured/analysed under the same conditions. It will return a normalized data set.
Proteomic/Geomics application of qunatile normalization
Global normalization - enforces the chips to have equal mean (median) intensity
Lowess – enforces equal means at all intensities
Quantile Normalization - enforces the chips to have identical intensity distribution
If you have any suggestions than please drop me a line.
Jens
引用格式
Dr. Jens Koopmann (2026). Quantile normalization of 2 dimensional arrays (https://ww2.mathworks.cn/matlabcentral/fileexchange/22123-quantile-normalization-of-2-dimensional-arrays), MATLAB Central File Exchange. 检索时间: .
