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Question: Filtering samples or not before normalisation for samples from several groups
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gravatar for Zhilong Jia
4.6 years ago by
Zhilong Jia • 1.6k
London
Zhilong Jia • 1.6k wrote:

Is it good or not to filter non-related samples before gene expression normalisation for samples from several groups (for example, A (control), B and C; B and C are a subtype of a disease) because I focus on B Vs A; C Vs A, B Vs C and C+B Vs A. With no filtering, it will be an issue especially when comparing B Vs C, resulting in none differentially expressed genes. Thank you.
normalisation microarray gene expression filter • 1.4k views
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modified 4.6 years ago by Devon Ryan ♦ 96k • written 4.6 years ago by Zhilong Jia • 1.6k
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gravatar for Devon Ryan
4.6 years ago by
Devon Ryan ♦ 96k
Freiburg, Germany
Devon Ryan ♦ 96k wrote:

In general, keeping all of the samples/groups together during normalization is preferred. The reason is that most current methods use one form of empirical Bayes or another and you tend to get more accurate background distributions then. But of course if whatever method you use doesn't do that then the answer might be different.
ADD COMMENT • link modified 4.6 years ago • written 4.6 years ago by Devon Ryan ♦ 96k
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