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quantile
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how to extract list in quantile in R
R
quantile
list
14 months ago
sat
• 0
0
votes
1
reply
936
views
Density Plot using Noob Normalisation vs Quantile Normalisation
Quantile
noob
Normalization
minfi
minfiDataEPIC
updated 20 months ago by
James W. MacDonald
65k • written 20 months ago by
mikat
• 0
0
votes
1
reply
1.1k
views
Re-normalize microarray dataset in R
microarray
quantile
expression
R
Normalization
updated 2.8 years ago by
Konstantinos Yeles
▴ 80 • written 2.8 years ago by
mohammedtoufiq91
▴ 10
1
vote
3
replies
850
views
CAGEr: Quantile Values (q_0.1 and q_0.9) in CAGEset / CAGEexp objects
CAGEr
CAGEset
quantile
CAGEexp
4.0 years ago
mirkocelii
▴ 40
2
votes
3
replies
1.7k
views
Bioconductor: quantile normalization
normalization
quantile
preprocesscore
updated 6.1 years ago by
James W. MacDonald
65k • written 6.1 years ago by
KVC_bioinfo
• 0
5 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…
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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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