Genomic and other life sciences data are often biased by technical issues, batch effects which be problematic for the meaningful analysis and interpretation of raw data. Normalization of your data helps minimize these biases, providing consistent and comparable results that can be used for performing exploratory data analysis and differential expression analysis, enabling you to evaluate and compare experimental results within and across samples.
The Normalization platform normalizes a table of raw data, using a variety of methods, and either saves the normalized data by adding new columns to the main data table, to a new JMP table or replaces the raw data in the existing table.