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Old 01-30-2018, 09:20 PM   #1
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Location: Japan

Join Date: Jan 2018
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Default The Most Appropriate statistical Test

How to choose statistical test method appropriate to my experiment design?

I have following RNAseq samples. (I know 2 replicates is not enough...)
  1. WT : wild type (replicate1, replicate2)
  2. mm : gene X mutant (replicate1, replicate2)
  3. OE : gene X overexpression (replicate1, replicate2)

To identify DEG(differential expression gene), I prepare these hypothesis.

・Null hypothesis : there is no expression change when manipulating gene X expression.

・Alternative hypothesis : there is some expression change when manipulating gene X expression.

I think ANOVA-like test in edgeR is appropriate method so far. In using this, multiple test correction is unnecessary and comparison between samples more than 3 is available. (In edgeR user's guide, ANOVA-like test is 3.2.6.)

However, I have not ever seen these experimental RNAseq design, so cannot choose the most appropriate statistical method. So I'm wondering if anyone knows some advice about this problem...
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