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deseq2 nested multifactorial analysis
DESeq2
multifactorial
nested
updated 2.7 years ago by
Basti
▴ 780 • written 2.7 years ago by
jd
• 0
0
votes
3
replies
1.6k
views
Is it possible to specify random nested factor in DEseq2?
nested
DESeq2
updated 3.8 years ago by
Michael Love
43k • written 3.9 years ago by
yampolsk
• 0
0
votes
3
replies
1.5k
views
Nested design- phyloseq_to_deseq
deseq2
Phyloseq
Nested
updated 5.6 years ago by
Michael Love
43k • written 5.6 years ago by
mpuli011
• 0
1
vote
2
replies
1.3k
views
Correct DESeq2 interaction design and results with paired and nested data
deseq2
Paired
Nested
updated 5.8 years ago by
Michael Love
43k • written 5.8 years ago by
julia.chariker
▴ 10
0
votes
3
replies
1.5k
views
DESeq2 - nested samples (individuals) - time course - conditions
deseq2
nested
de
updated 6.0 years ago by
Michael Love
43k • written 6.0 years ago by
gaio.transposon
• 0
4
votes
7
replies
1.8k
views
EdgeR between/within comparisons (3.5) with nested non-balanced data set
edgeR
nested
glm
glmQLFit
updated 6.6 years ago by
Aaron Lun
★ 29k • written 6.6 years ago by
jcalis
▴ 10
1
vote
1
reply
2.9k
views
EdgeR:Calculating differential expression within/between groups in nested designs
edger
nested
design matrix
differential expression
updated 10.7 years ago by
Aaron Lun
★ 29k • written 10.7 years ago by
Mauve
• 0
4
votes
5
replies
2.4k
views
edgeR: estimating dispersion for nested designs
edger
nested
estimatedispersions
10.8 years ago
Mauve
• 0
8 results • Page
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Comment: Getting a large intercept with DESeq2
by
Michael Love
43k
Thanks James -- Denise you can check the "note on factor levels" in the vignette. And I'd recommend `plotCounts()` for looking at individu…
Comment: Getting a large intercept with DESeq2
by
James W. MacDonald
68k
As a trivial example, consider this: ``` > model.matrix(~Treatment, data.frame(Treatment = factor(rep(1:3, each = 4)))) (Intercept) Tre…
Answer: Getting a large intercept with DESeq2
by
James W. MacDonald
68k
The default parameterization in R is a treatment-contrasts parameterization that sets one of your groups as the baseline. So the intercept …
Answer: Must I do pseudobulk analysis on Cell Surface Protein Labeling data of Single C
by
ATpoint
★ 5.0k
There is no "MUST", but pseudobulk aggregation is beneficial to a) enable use of tested and robust methods such as limma (though it could u…
Answer: Post translational modifications and phosphoproteomics in limpa?
by
Gordon Smyth
53k
Yes, we use limpa for PTMs ourselves. I assume your data is preprocessed so that each row corresponds to a PTM. You replace dpcQuant() with…
Votes
Answer: What R/Bioconductor tools would you recommend for the analysis of sncRNA, specif
Using edgeR or DESeq2 to analyze allele-specific expression?
Answer: DESeq2 design for haplotype MPRA
Answer: Failure to download resources (MeSHDb) from AnnotationHub
Answer: Failure to download resources (MeSHDb) from AnnotationHub
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