Bioconductor Htseq

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560

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DEXSeq HTSeq R

8 months ago yr542 • 0

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1.0k

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DESeq2 microRNA HTSeq

16 months ago abhay.kanodia • 0

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716

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DESeq2 RNA-seq HTseq DESeqDataSetFromHTSeqCount

updated 17 months ago by Michael Love 41k • written 17 months ago by abhay.kanodia • 0

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705

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DESeq2 htseq DEGseq RNASeq read

updated 18 months ago by Michael Love 41k • written 18 months ago by CP • 0

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1.1k

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software error HTSeq installation

updated 4.2 years ago by Martin Morgan 25k • written 4.2 years ago by eric33150 • 0

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4.4k

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voom htseq edgeR limma RNASeq123

updated 5.3 years ago by Gordon Smyth 50k • written 6.9 years ago by wd ▴ 30

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1.5k

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DEXSeq dexseq_count htseq

7.2 years ago mat.lesche ▴ 90

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1.9k

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HTSeq HTSeqCounts Could not find function DEXSeq

updated 8.0 years ago by Martin Morgan 25k • written 8.0 years ago by sakura.nussbaum ▴ 10

8 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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