updated 4 weeks ago by
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Sorry that it was unclear in the post. The data is all CRISPR gene effect scores from DepMap. The 'significant genes' as mentioned in the p…
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Thank you for your answer, it's very inspiring.
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The choice of test depends on the types of variables involved and the hypothesis you have. But most importantly on the question you want am…
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I'd consider making a [block annotation](https://jokergoo.github.io/ComplexHeatmap-reference/book/heatmap-annotations.html#block-annotation…
Comment: Comparing GSEA mutant data to wild type
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What do you mean by "significant gene"?
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Did you perform blockwise module detection by any chance? Are your results object's contents sorted in blocks?
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What about some of the well known enhancer regions, the globin locus LCR? Likely to be highly sequenceable, and yet not on exome panels.
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Just tried it, displaying the same error and R crashes
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