Bioconductor Cnvtools

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942

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genomicranges cnvtools

6.5 years ago julrodr80 ▴ 30

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1.3k

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cnv cnvtools crlmm

7.8 years ago enriquev • 0

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1.6k

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copynumber cnvtools cnv copywriteR

updated 7.8 years ago by t.kuilman ▴ 170 • written 7.8 years ago by ahinsahr11 • 0

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1.9k

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cn.mops cnvtools tcga cnv

updated 8.5 years ago by Günter Klambauer ▴ 540 • written 8.5 years ago by vakul.mohanty ▴ 20

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1.8k

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cn.mops cnv cnvtools

updated 8.8 years ago by Günter Klambauer ▴ 540 • written 8.8 years ago by voksdvoks • 0

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2.3k

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cn.mops cnv cnvtools

updated 8.8 years ago by Martin Morgan 25k • written 8.8 years ago by bioconductor • 0

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903

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CNVtools CNVtools

updated 14.2 years ago by Sean Davis 21k • written 14.2 years ago by Bryan Hepworth ▴ 30

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863

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CNVtools CNVtools

14.5 years ago Vincent Plagnol ▴ 10

8 results • Page 1 of 1

Recent ...

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

Hi Michael, I think there is something wrong with the generation of nullranges. I was working with small RNA and methylation overlaps. …

Answer: Once again a "Model matrix not full rank" by swbarnes2 ★ 1.3k

Replicate numbers, like the 1 in control_1 are fine in sample names, but never add them to anything else in colData. From the computer's p…

Answer: limma Intercept vs No-intercept models completely changing DMR results? by Gordon Smyth 50k

I'll add a little bit of general advice to James' answer. You seem to have the misunderstanding that you can change the design matrix but …

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

It is true that goseq isn't available for Bioc 3.19. That is because goseq depends on txbmaker, which is itself not yet available for Bioc…

Answer: limma Intercept vs No-intercept models completely changing DMR results? by James W. MacDonald 65k

This part: ``` design_intercept <- model.matrix(~Alt+Sex+Age+PC1, data=targets_Sherpa) colnames(design_intercept) <- c("AltSHP_LA","Al…

Votes

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

Answer: limma Intercept vs No-intercept models completely changing DMR results?

Answer: CombineArrays for EPIC and EPIC V2

Answer: Too many significant genes when integrating gtex and tcga

Comment: Too many significant genes when integrating gtex and tcga

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