Quantile normalization of 2 dimensional arrays

Returns a normalized dataset
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Updated 19 May 2009

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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

Cite As

Dr. Jens Koopmann (2024). Quantile normalization of 2 dimensional arrays (https://www.mathworks.com/matlabcentral/fileexchange/22123-quantile-normalization-of-2-dimensional-arrays), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.3.0.0

Updated the mean calculation

1.1.0.0

Shows raw data and normalized data in a graph.

1.0.0.0