Bioconductor PlotMA

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637

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plotMA ggplot2 plotPCA DESeq2

updated 7 months ago by Michael Love 41k • written 7 months ago by sara.jacobson • 0

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626

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matrixsubset DESeq2 plotMA

updated 3.1 years ago by Michael Love 41k • written 3.1 years ago by l.troxler ▴ 10

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893

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deseq2 plotMA rnaseq community analysis asymmetry

updated 4.2 years ago by Michael Love 41k • written 4.2 years ago by chaco001 • 0

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962

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agilent single channel plotMA background correction

updated 5.9 years ago by Gordon Smyth 50k • written 5.9 years ago by CantExitVIM ▴ 10

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1.1k

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deseq2 plotMA rnaseq logfoldchange

updated 6.2 years ago by Michael Love 41k • written 6.2 years ago by ap_vc21 • 0

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2.6k

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deseq2 plotma

6.6 years ago Yvan Wenger ▴ 50

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4.9k

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rstudio r plotMA

6.9 years ago g.k • 0

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4.8k

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deseq2 rnaseq plotMA deseq rna-seq

updated 8.1 years ago by Michael Love 41k • written 8.1 years ago by sjs0282 • 0

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3.7k

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limma plotMA

updated 8.7 years ago by Gordon Smyth 50k • written 8.7 years ago by Lisa Cohen ▴ 50

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2.4k

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normalization deseq2 plotMA meanSDplot

8.7 years ago aravenscraft • 0

10 results • Page 1 of 1

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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…

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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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