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dream
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How long does it usually take to complete dream() from start to finish?
variancePartition
mixedmodel
dream
8 months ago
hayleyw
• 0
1
vote
4
replies
688
views
Repeated Measures-Cross Over Study for RNAseq data using variancePartition::dream
RNAseq
variancePartition
edgeR
dream
13 months ago
DH
• 0
0
votes
5
replies
956
views
Semi-technical replicates and voom sample weights
variancePa
variancePartition
limma-voom
dream
updated 14 months ago by
Gordon Smyth
50k • written 14 months ago by
Le
• 0
8
votes
11
replies
2.4k
views
dream vignette says limma-voom repeated measures two-group comparison needs two duplicateCorrelation rounds which differs from limma user's guide and…
dream
variancePartition
limma
differential expression
repeated measures
updated 4.6 years ago by
Gordon Smyth
50k • written 4.6 years ago by
hermidalc
▴ 20
4
votes
3
replies
1.7k
views
Blocking factor in limma/voom vs. variancePartition/dream analysis.
limma
voom
variancePartition
dream
updated 4.6 years ago by
gabriel.hoffman
▴ 110 • written 4.8 years ago by
Ben
▴ 50
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…
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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