I’ve used DepMap’s Custom Analysis 2-class comparison feature to compare three data types between two groups of cell lines :
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CRISPR Chronos scores
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Gene expression
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Metabolite abundance
I have two specific questions for each of these analyses:
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What statistical test is used to compute the p-values, is it a simple two-sample t-test?
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What does the effect size represent , is it the difference in means between the two groups (e.g., difference in mean Chronos score, difference in mean log2 expression)?
I’m asking because I need to accurately describe the statistical methodology in a manuscript Methods section. Does the same statistical approach apply to all three data types, or does it differ depending on the data type being analyzed?