Bioconductor HTSeqGenie

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HTSeqGenie BAM

updated 26 days ago by James W. MacDonald 65k • written 26 days ago by zh9118 • 0

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HTSeqGenie

7 months ago zh9118 • 0

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HTSeqGenie

14 months ago zh9118 • 0

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HTSeqGenie

19 months ago Maryam.sed1400 • 0

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HTSeqGenie

20 months ago Maryam.sed1400 • 0

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HTSeqGenie

updated 7.8 years ago by Jens Reeder ▴ 40 • written 7.8 years ago by Thomas Sandmann ▴ 90

6 results • Page 1 of 1

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Comment: Why does GSEA on edgeR results for randomized samples give highly significant p- by Chris • 0

Intent to delete when going home. Sorry for that!

Comment: Why does GSEA on edgeR results for randomized samples give highly significant p- by Gordon Smyth 50k

Please ask you own question. Inserting your own dataset into someone else's question like this is very impolite. I have already answered m…

Comment: package goseq seems to be not available on the latest version of R by Gordon Smyth 50k

limma most certainly is available. It installs in R 4.4.0 and Bioc 3.19 for all platforms without any issues. It has not had any period of …

Comment: package goseq seems to be not available on the latest version of R by Patrycja ▴ 20

limma package also isn't available.Is there any information when these packages will be available?

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'…

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

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

Handling multiple differential expression comparisons

Answer: fgsea significant result

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