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glmLRT()
•
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2
votes
2
replies
1.8k
views
EdgeR User Guide: use of glmLRT vs glmQLF in oral carcinoma Case Study
edger
design matrix
glmlrt()
glmQFTest()
paired design
7.2 years ago
oakhamwolf
• 0
4
votes
15
replies
2.8k
views
Adjusting for procedural effect and deciding on statistical test
EdgeR
glmlrt()
ql f-test
9.2 years ago • updated 8.5 years ago
elineverbon
▴ 20
0
votes
7
replies
4.4k
views
Computing contrasts with a covariate using edgeR glmLRT()
edger
contrast
covariate
glmlrt()
8.8 years ago
Jeff Skinner
• 0
1
vote
6
replies
1.7k
views
design of edgeR GLM test
edger
differential gene expression
glmlrt()
9.1 years ago
simarsidhu25
• 0
4
votes
7
replies
3.6k
views
Can we use glmQLFit instead of glmFit and then glmLRT in edgeR
edger
differential gene expression
glmlrt()
9.1 years ago
simarsidhu25
• 0
7
votes
5
replies
4.5k
views
edgeR effects of design on testing main effects and interactions
edger
glmfit
glmlrt()
updated 10.2 years ago by
Aaron Lun
★ 29k • written 10.2 years ago by
cadeans
• 0
4
votes
8
replies
2.5k
views
EdgeR: batches and samples over-specify system, how to contrast un-modeled variables?
edger
glmlrt()
differential expression
design and contrast matrix
updated 10.6 years ago by
Gordon Smyth
53k • written 10.6 years ago by
carlgdeboer
• 0
5
votes
7
replies
4.8k
views
How to specify 'contrast' in glmLRT command when treatments in design matrix are named with numbers, not letters
edger
rnaseq
glmlrt()
updated 10.8 years ago by
James W. MacDonald
68k • written 10.8 years ago by
MBWatson
• 0
6
votes
7
replies
8.0k
views
EdgeR: glmLRT(), Multifactorial designs and correction for multiple testing
edgeR
glmLRT()
multiple factor design
multiple testing correction
updated 11.0 years ago by
Aaron Lun
★ 29k • written 11.0 years ago by
Ekarl2
▴ 80
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Comment: DESeq2 - how many surrogate variables from svaseq, use of lfcshrink
by
ja569116
• 0
Hi @atpoint Thanks for the information. Could you please expand on when to use adjusted p-values vs nominal p-values. My understanding was …
Answer: limpa analysis advice
by
Gordon Smyth
53k
It is actually very hard to estimate the DPC from observed data, because the curve is function of unobserved intensities rather than a func…
Answer: When to use edgeR or limma
by
Gordon Smyth
53k
The short answer is that we generally prefer edgeR for applications with lots of small counts and limma for complex designs with random eff…
Comment: limpa-blank normalization and Spectronaut's PTM stoichiometry
by
Gordon Smyth
53k
I updated the above answer today.
Answer: When to use edgeR or limma
by
James W. MacDonald
68k
I would use edgeR's quasi-likelihood model for any analysis with a smaller number of observations (like 3 vs 3 or similar), but if you have…
Votes
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
A: deseq2 - paired samples in 2 sequencing types with very different library sizes
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