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Normalization (microarray data)
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18 months ago
j_jamal96 • 0

Hi guys! What is the difference between normalization and correcting for Batch effect?

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2.2 years ago
theobroma22 ♦ 1.1k

It depends on the experimental design, like which array type you are using, but say for microarray translating pixel intensities into transcript expression requires a series of computations, generically known as preprocessing and normalization steps. Correcting for batch effects is when you have large differences in error estimation than expected between two or more identical samples, or replicate microarrays in this case, so you need to add this correction categorically in your phenotypic data when re-normalizing the data; unless you know ahead of time that you do have or will have a batch effect. I’m sure someone else on here can explain it better than I can, but you don’t divulge much in your question/post to give a more clear answer.

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Thanks for the explanation, But I did not understand the definitions of these terms. Specifically, my question is, what errors do the normalization or batch effect contain?

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