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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
9 results • Page
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Answer: Confounded design, batch effect correction (edgeR)
by
nig.httopss
• 0
To perform gene matching accurately, you should use the formula ~0 + Group + Batch in the design matrix to better manage sample groups. Sin…
Comment: Clarification on counting in Rsubread (featureCounts)
by
Gordon Smyth
53k
Have you told featureCounts to do strand-specific counting? As pointed out by Frances Turner, you can lose reads if they overlap the gene …
Answer: Clarification on counting in Rsubread (featureCounts)
by
Frances Turner
▴ 10
You should look at the summary files produced by feature counts. This gives a breakdown of what happened to reads that were not assigned. Y…
Comment: Incosistencies in buildSNNGraph() function
by
ATpoint
★ 5.0k
Just played with this a bit and I think it comes down to not having a fixed seed before running the leiden thingy. Same goes for PCA and UM…
Answer: Incosistencies in buildSNNGraph() function
by
Aaron Lun
★ 29k
The most obvious thing that comes to mind is the RNG seed. `cluster_leiden()` does some random number generation, somewhere deep in the **i…
Votes
Answer: Clarification on counting in Rsubread (featureCounts)
C: RNA-Seq analysis with Limma/edgeR, time course experiment, aberrant results
C: RNA-Seq analysis with Limma/edgeR, time course experiment, aberrant results
A: Conversion from counts to FPKM
Answer: Incosistencies in buildSNNGraph() function
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