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18 results • Page 1 of 1

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Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package) by Michael Love 41k

Check the number of bootstrapped data per chromosome compared to the original, and then you can also look at its distribution. For this it'…

Comment: DNAString: Standard checksum function? by Henrik Bengtsson ★ 2.4k

For completeness: SEGUID v2 (https://www.seguid.org/), implemented in CRAN package **[seguid](https://cran.r-project.org/package=seguid)*…

Comment: fgsea significant result by Chris • 0

Thanks ATpoint! Setting a fixed seed can reproduce the same result. However, if someone else analyze the same data with different seed, the…

Comment: SGSeq: moving toward diffex from SGSeq analysis by Sara • 0

Thank you for your response. I have another question about saving the sgvc result as a CSV file. I would appreciate your help, please. ``` …

Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package) by Poonam • 0

I tried different block lengths first and considered 100000 to be ideal because of the almost similar inter-range distance. S1= bootRange…

Votes

Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-

Handling multiple differential expression comparisons

Answer: fgsea significant result

package goseq seems to be not available on the latest version of R

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