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epic microarray
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1.6k
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ChAMP functional normalization error "subscript out of bounds"
champ
epic microarray
normalization
minfi
6.8 years ago
Laura
• 0
0
votes
2
replies
1.5k
views
Error in read.metharray.exp
minfi
epic microarray
bioconductor
updated 2.6 years ago by
Lucy
• 0 • written 7.0 years ago by
c.sae-lee2
• 0
0
votes
2
replies
2.3k
views
Error code using ChAMP/Bioconductor, unable to load data from EPIC methylation array
bioconductor
methylation
epic microarray
champ
7.1 years ago
csappleby-mallinder1
• 0
0
votes
4
replies
2.0k
views
minfi "mapToGenome" dimension error
methylation
epic microarray
minfi
methylationepic
8.0 years ago
nhejazi
• 0
0
votes
0
replies
1.2k
views
Shinymethyl 850K Array quality control signal cutoffs
shinymethyl
minfi
epic microarray
methylationepic
qualitycontrol
8.0 years ago
chelsey.ju
• 0
0
votes
0
replies
1.7k
views
Issue with finding .idat files when analysing illumina methylation microarrays using RnBeads
rnbeads
methylation
illumina
epic microarray
8.5 years ago
rasii
• 0
1
vote
7
replies
3.3k
views
dmpFinder return value (minfi)
minfi
dmpfinder
dmp
illuminahumanmethylationepicanno.ilmn10b.hg19
epic microarray
updated 8.7 years ago by
James W. MacDonald
68k • written 8.7 years ago by
Biologist
▴ 120
0
votes
1
reply
1.8k
views
Error in Matrix
minfi
methylation
EPIC microarray
illumina
updated 8.9 years ago by
Kasper Daniel Hansen
★ 6.5k • written 8.9 years ago by
rasii
• 0
8 results • Page
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Comment: how many significant figures are there in DESeq2 output
by
ATpoint
★ 4.7k
If you want consistency then use a fixed software environment like Docker, wirh fixed code and thresholds that make sense. Rounding to near…
Comment: Compare TCGA-PAAD with GTEx gene expression
by
Jane
• 0
why aren't there any answers?
Comment: Too many significant genes when integrating gtex and tcga
by
Jane
• 0
I encountered the same issue: too many DEGs after limma analysis. It is sad that until today we can still see the paper published where GTE…
Comment: how many significant figures are there in DESeq2 output
by
Matthew McCormack
▴ 180
Thank you for your reply. It is good to know that cutoff of 0.05 means less than 0.05. My concerns are about consistency and reproducibili…
Comment: DiffBind edgeR normalization --- why are the normalization factors all equal to
by
ATpoint
★ 4.7k
No, normalization factors from edgeR rather than size factors from DESeq2 are not proportional, it's a different concept and implementation…
Votes
A: Unbalanced experiment with multiple samples from each patient.
Unbalanced experiment with multiple samples from each patient.
Answer: Vertical line at A=0, nothing else, on MA plot
Answer: GSVA Error Code "Calling gsva(expr=., gset.idx.list=., method=., ...) is defunct
Answer: Group-specific condition effects with individuals nested: matrix is not full ra
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