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hosseinvk merged 1 commit into from
Aug 11, 2026
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Remove answers from Enrichment Statistics activity questions #42

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16 changes: 0 additions & 16 deletions 03-stats.Rmd
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Expand Up @@ -152,31 +152,15 @@ You can adjust various factors and see their effect on the enrichment p-values.

### **Questions** {- .rationale}
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?
<details>
<summary>Show</summary>
No, corrected pval=0.087
</details>
<p>&nbsp;</p> <!-- insert blank line -->

2. What about with a smaller background of 5000 genes (e.g. proteomic datasets)?
<details>
<summary>Show</summary>
Even less so - corrected pval=1
</details>
<p>&nbsp;</p> <!-- insert blank line -->

3. Or, testing against a smaller database of terms; 2000 terms instead of 10000? With the original 16000 gene background.
<details>
<summary>Show</summary>
Yes, now corrected pval=0.017
</details>
<p>&nbsp;</p> <!-- insert blank line -->

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?
<details>
<summary>Show</summary>
5 hits - 2.5% of the differentially expressed genes vs 0.19% of all genes
</details>

#### {-}

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