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model matrix
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1.4k
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Model matrix for longitudinal pairwise rna-seq data: linear regression or linear mixed model?
limma
model matrix
linear regression
5.7 years ago
agm
• 0
1
vote
2
replies
1.7k
views
DESeq2 design & model matrix not full rank - am I nesting correctly?
deseq2
model matrix
experimental design
multiple factor design
updated 7.2 years ago by
Michael Love
43k • written 7.2 years ago by
amye107
• 0
0
votes
7
replies
1.7k
views
Model matrix not full rank
deseq2
linear combination
model matrix
updated 7.4 years ago by
Michael Love
43k • written 7.4 years ago by
sally_b86
• 0
2
votes
4
replies
1.5k
views
Removing batch effect on edgeR when interactons are looked at
rnaseq
edger
statistics
model matrix
updated 7.5 years ago by
Steve Lianoglou
★ 13k • written 7.5 years ago by
David R
▴ 90
3
votes
6
replies
30k
views
Designing a contrast in DESEQ
deseq2
design and contrast matrix
model matrix
8.1 years ago
mrigaya.mehra
▴ 10
0
votes
8
replies
2.1k
views
DESeq2 glibc error
deseq2
differential gene expression
model matrix
updated 8.1 years ago by
Michael Love
43k • written 8.1 years ago by
gregory.l.stone
▴ 10
4
votes
6
replies
2.9k
views
Find if a covariate has effect on gene expression level using edgeR and DESeq2
edger
deseq2
model matrix
differential expression
8.5 years ago
ta65
• 0
2
votes
7
replies
3.5k
views
ballgown custom models
ballgown
linear model
model matrix
custom model
9.0 years ago • updated 8.9 years ago
sbcn
▴ 80
7
votes
6
replies
4.4k
views
Design and contrast question limma (additive or nested or duplicateCorrelation())??
limma
model matrix
limma design matrix
complex-design
updated 9.8 years ago by
Aaron Lun
★ 28k • written 9.8 years ago by
Guido Hooiveld
★ 4.1k
9
votes
2
replies
5.8k
views
Limma Model Matrix Understanding
limma
limma design matrix
model matrix
updated 9.9 years ago by
Aaron Lun
★ 28k • written 9.9 years ago by
andrew.j.skelton73
▴ 370
2
votes
5
replies
4.4k
views
design model matrix for nested factors (edgeR)
edger
design matrix
model matrix
updated 9.9 years ago by
Aaron Lun
★ 28k • written 9.9 years ago by
silvia.paolucci81
• 0
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Comment: DESEQ2 looking at main effects while controlling for a continuous variable
by
James W. MacDonald
68k
The covariate is accounted for when you fit the model, so you don't need to do anything with it at the contrast step. You don't need a con…
Comment: DESEQ2 looking at main effects while controlling for a continuous variable
by
Lennie
• 0
Thank you so much for taking the time and for the detailed explanation! I was wondering, in your numeric contrast of c(1, -1, 0,0,0), doe…
Answer: DESEQ2 looking at main effects while controlling for a continuous variable
by
James W. MacDonald
68k
If you use a factor effects model (with an intercept), then you will have a baseline group (the intercept), and all other coefficients exce…
Comment: Issue with DECIPHER::IdTaxa
by
Daniel
• 0
The issue is still there and it is a real pain. ape and ade4 are used by packages like Phyloseq. There should be a way to avoid these inc…
Comment: Using edgeR::voomLmFit for the analysis of paired clinical RNA-seq samples with
by
Gordon Smyth
52k
I generally recommend `block=individual` for unbalanced designs, to recover information from incomplete blocks. I would only be disuaded fr…
Votes
Answer: DESEQ2 looking at main effects while controlling for a continuous variable
Use of clusterProfiler : Error in testForValidKeytype(x, keytype)
Comment: Using edgeR::voomLmFit for the analysis of paired clinical RNA-seq samples with
Answer: Using edgeR::voomLmFit for the analysis of paired clinical RNA-seq samples with
Answer: Using edgeR::voomLmFit for the analysis of paired clinical RNA-seq samples with
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