Bioconductor BiSeq

Showing : BiSeq • reset

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3.0k

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biseq fdr data results

9.1 years ago • updated 9.0 years ago mnaymik ▴ 10

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1.2k

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BiSeq DMR

updated 3.9 years ago by James W. MacDonald 65k • written 3.9 years ago by akhaira • 0

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936

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biseq beta regression

3.9 years ago • updated 3.8 years ago akhaira • 0

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1.9k

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biseq error trimClusters

updated 8.2 years ago by Katja Hebestreit ▴ 130 • written 8.3 years ago by kms68 • 0

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2.0k

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biseq RRBS SAAP-BS coverage

9.0 years ago maria.maqueda • 0

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1.9k

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BiSeq readBismark

updated 8.5 years ago by James W. MacDonald 65k • written 8.5 years ago by Neel Aluru ▴ 460

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1.7k

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BiSeq BiSeq

updated 10.3 years ago by David Iles ▴ 130 • written 10.3 years ago by Hans-Ulrich Klein ▴ 330

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1.3k

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biseq methylation dmr analysis

updated 7.3 years ago by Katja Hebestreit ▴ 130 • written 7.3 years ago by jjalmagro • 0

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2.5k

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dmr methylation deseq2 bsseq biseq

updated 8.5 years ago by Kasper Daniel Hansen ★ 6.5k • written 8.5 years ago by enricoferrero ▴ 660

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636

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BiSeq

2.2 years ago thomas.koefoed • 0

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1.1k

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biseq RRBS betaregression

7.1 years ago l.eijssen • 0

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1.1k

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dna methylation biseq

updated 6.4 years ago by Gordon Smyth 50k • written 6.4 years ago by ahmad.moousavi • 0

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930

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biseq package installation r

updated 5.3 years ago by Martin Morgan 25k • written 5.3 years ago by lwh863 • 0

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610

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biseq betaRegression RRBS Methylation

4.1 years ago i.s.castanho • 0

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644

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biseq R methylation

4.0 years ago AishaD • 0

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731

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BiSeq testClusters error dmr

3.8 years ago akhaira • 0

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923

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bedgraph .cov wig biseq coverage

3.8 years ago akhaira • 0

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474

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Biseq

3.9 years ago akhaira • 0

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906

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biseq ccle

5.7 years ago spr ▴ 10

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752

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Biseq Methylation DMP DMR RRBS

3.8 years ago i.s.castanho • 0

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1.7k

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methylation linear model dmr bsseq biseq

8.4 years ago enricoferrero ▴ 660

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576

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BiSeq Coldata

3.9 years ago akhaira • 0

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736

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BiSeq Wald test Beta regression

5.3 years ago mira • 0

23 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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