Data Preprocessing

Before any meaningful analysis can be done using your genomic data, they will need to go under a thorough cleaning process. Microarray data normalization is the paradigm of such data reshaping processes, but not the only one. Mathematical transformations of your data like taking logarithms, missing data imputation or gene ID conversion are among them. In general the purpose of this step is to reshape your data into a distribution which will be suitable in further steps of the analysis. Babelomics preprocessing tools allow you doing such data transformations.

preprocessing.txt · Last modified: 2017/05/24 10:36 (external edit)
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