Bioconductor DiFFBind

Showing : DiFFBind • reset

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DiffBind

2 days ago Henry ▴ 10

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DiffBind macs2 chipseq

3 days ago yvonneh • 0

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DiffBind

3 days ago Ian D. ▴ 70

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121

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DiffBind

4 days ago • updated 3 days ago Ian D. ▴ 70

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102

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DiffBind ChIPSeqData DESeq2

updated 5 days ago by Michael Love 41k • written 5 days ago by marcusn • 0

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132

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DiffBind

updated 9 days ago by ATpoint ★ 4.1k • written 11 days ago by Shloka • 0

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235

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DiffBind DESeq2 ATACSeq

18 days ago • updated 15 days ago lonn • 0

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171

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DiffBind

23 days ago • updated 19 days ago Henry ▴ 10

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DiffBind Errorinsocketconnection SpikeIn

20 days ago Virangika • 0

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388

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DiffBind Normalization

24 days ago • updated 23 days ago Henry ▴ 10

10 results • Page 1 of 1

Recent ...

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

Thanks Gordon for the advice! I ran fgsea, gsva and camera(), the most significant pathways are different. For the purpose of finding pathw…

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. ``` …

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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