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methylationepic
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Beta values and M values cluster differently
methylationEPIC
minfi
microarray
epigenetics
EPIC
5.1 years ago
rmf
▴ 20
0
votes
0
replies
826
views
Best normalisation method
microarray
methylationEPIC
epigenetics
minfi
EPIC
5.1 years ago
rmf
▴ 20
3
votes
6
replies
2.1k
views
could not find function "champ.load"
ChAMP
champ 2.9.10
methylationepic
6.1 years ago
david.ch
• 0
0
votes
0
replies
1.0k
views
differential methylation analysis with RnBeads
rnbeads
methylation
methylationepic
dna methylation
6.2 years ago
gabrielrfries
• 0
0
votes
1
reply
1.9k
views
ChAMP Methylation analysis error code "could not find function champ.load"
champ
methylationepic
updated 6.3 years ago by
Yuan Tian
▴ 280 • written 6.3 years ago by
csappleby-mallinder1
• 0
3
votes
4
replies
3.0k
views
Error while using champ.svd() function in subset of data
ChAMP
methylationepic
epicarray
epigenomics
updated 6.6 years ago by
rcavalca
▴ 140 • written 6.6 years ago by
karthikrpad
▴ 10
0
votes
0
replies
900
views
Error when changing the database for minfi dropLociWithSnps
minfi
methylationepic
illuminahumanmethylationepicanno.ilmn10b.hg19
SNP
6.8 years ago
Ellen O
• 0
0
votes
2
replies
1.9k
views
Illumina methylationEPIC demo data in IDAT format?
methylation
illumina
EPIC
methylationepic
idat
updated 7.0 years ago by
Guido Hooiveld
★ 3.9k • written 7.0 years ago by
Ellen O
• 0
0
votes
4
replies
1.7k
views
minfi "mapToGenome" dimension error
methylation
epic microarray
minfi
methylationepic
7.2 years ago
nhejazi
• 0
0
votes
0
replies
1.0k
views
Shinymethyl 850K Array quality control signal cutoffs
shinymethyl
minfi
epic microarray
methylationepic
qualitycontrol
7.2 years ago
chelsey.ju
• 0
0
votes
3
replies
1.6k
views
MINFI missing samples in qcreports and densityplots
minfi
illumina
methylationEPIC
densityplot
7.3 years ago
annabelle.congras
▴ 10
11 results • Page
1 of 1
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Replies
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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