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just to clarify, it is not that the program algorithm works differently but the meaning of the flags changed;
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Thanks Ram. Using merge maxed out my ram on a large list, but your suggestion directed me to purrr::reduce which works great.
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features <- SelectIntegrationFeatures(object.list = merged_dat)
data.anchors <- FindIntegrationAnchors(object.list = merged_dat,
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Thank you for your help! I really appreciate it!
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Thank you for your answer!
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They say that we remember better things we figured out on our own, rather than things we were taught. You were literally two clicks away fr…
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https://maayanlab.cloud/clustergrammer/
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There is an Agilent array case study in the limma User's Guide, which you might find helpful and somewhat simpler.
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The comparison you've done seems exactly right to test whether treatment 2 modifies or enhances the effect of treatment 1.
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Oh wow, bedops closest-features, how did I overlook that!! I didn't know about it; thank you! Your awk script is beautiful. This worked per…
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Thank you Pierre! I'll try this out with my full data set.
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I happend to see one paper doing the similar thing, share it with you guys, "A systematic evaluation of normalization methods and probe rep…
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