Quantile Normalization

What Does Quantile Normalization Mean?

Quantile normalization is a data handling technique that works on microarrays or small data sets. This statistical process can be used as the basis for some types of machine learning projects.


Techopedia Explains Quantile Normalization

The use of quantile normalization is particularly popular in machine learning projects having to do with genomic sequencing or gene editing. For example, some companies on the forefront of genetic science use quantile normalization for RNA sequencing to come up with more sophisticated results in terms of gene editing and other procedures. The technology can also be useful in other fields and other types of machine learning where complex number systems determine what the computer “learns” or “knows.”


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Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical, business audience. Over the past twenty years her explanations have appeared on TechTarget websites and she's been cited as an authority in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine and Discovery Magazine.Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages. If you have a suggestion for a new definition or how to improve a technical explanation, please email Margaret or contact her…