Bioconductor Singlecellexperiment

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scRNAseq edgeR SingleCellExperiment

8 months ago duez.tolga • 0

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569

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SingleCellExperiment

3 months ago Dario Strbenac ★ 1.5k

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903

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singleR SingleCellExperiment SingleCellData

10 months ago Matvii Mykhailichenko • 0

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SingleCellExperiment

written 5.1 years ago by Matthew Thornton ▴ 350

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SingleR SingleCellExperiment

4 months ago elgomez • 0

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301

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BatchEffect SingleCellExperiment

updated 3 months ago by James W. MacDonald 65k • written 3 months ago by NeuroDaniel • 0

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495

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tidyverse R SingleCellExperiment SingleCellData

updated 4 months ago by daenerystargaryen56 • 0 • written 5 months ago by Sitapriya • 0

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826

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scran SingleCellExperiment

10 months ago Lluís Revilla Sancho ▴ 730

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506

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SingleCellExperiment

written 6 months ago by megan • 0

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158

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SingleCellExperiment

3 months ago JalapenoCornbread • 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 (as at 4 May 2024). In the meantime, you could consider using the goana() and kegga() …

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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