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Uniprot.ws getting Function [CC]
uniprot.ws
columns
6.1 years ago • updated 6.0 years ago
schmid10
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1.1k
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name of column in R
software error
deseq
metarnaseq
HTSFilter
columns
updated 6.8 years ago by
Wolfgang Huber
★ 13k • written 6.8 years ago by
ed_isfahani
• 0
1
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2
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822
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Issue with edgeR
software error
edger
columns
updated 7.9 years ago by
Gordon Smyth
50k • written 7.9 years ago by
t3h096
• 0
0
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5
replies
6.2k
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Adding information to the DESeq2 output file (gene name and expression levels for each sample(
deseq2
gene
columns
output
updated 8.5 years ago by
Michael Love
41k • written 8.5 years ago by
amyfm
▴ 10
4 results • Page
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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…
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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