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03-stats.Rmd

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@@ -132,23 +132,26 @@ You can adjust various factors and see their effect on the enrichment p-values.
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#### {-}
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### **Questions** {- .rationale}
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1. Is it significant at p=0.05?
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1. If 24 of the 300 differentially expressed genes are annotated with the 500-gene term of interest. Is it significant at p=0.05?
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<summary>Show</summary>
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No, corrected pval=0.087
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<p>&nbsp;</p> <!-- insert blank line -->
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2. What about with a smaller background of 5000 genes (e.g. proteomic datasets)?
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Even less so - corrected pval=1
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3. Or, testing against a smaller database of terms; 2000 terms instead of 10000? With the original 16000 gene background.
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Yes, now corrected pval=0.017
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4. 19 out of 200 differentially expressed genes (9.5%), need to hit for a 500-gene term (3.1% of all genes) to be significant at (p=0.048). How many hits would be needed for a more specific 30-gene term?
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