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glmlrt()
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6
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7
replies
6.6k
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EdgeR: glmLRT(), Multifactorial designs and correction for multiple testing
edgeR
glmLRT()
multiple factor design
multiple testing correction
updated 8.2 years ago by
Aaron Lun
★ 28k • written 8.2 years ago by
Ekarl2
▴ 80
7
votes
5
replies
3.0k
views
edgeR effects of design on testing main effects and interactions
edger
glmfit
glmlrt()
updated 7.4 years ago by
Aaron Lun
★ 28k • written 7.4 years ago by
cadeans
• 0
0
votes
7
replies
2.9k
views
Computing contrasts with a covariate using edgeR glmLRT()
edger
contrast
covariate
glmlrt()
5.9 years ago
Jeff Skinner
• 0
5
votes
7
replies
2.8k
views
How to specify 'contrast' in glmLRT command when treatments in design matrix are named with numbers, not letters
edger
rnaseq
glmlrt()
updated 8.0 years ago by
James W. MacDonald
62k • written 8.0 years ago by
MBWatson
• 0
4
votes
7
replies
2.2k
views
Can we use glmQLFit instead of glmFit and then glmLRT in edgeR
edger
differential gene expression
glmlrt()
6.3 years ago
simarsidhu25
• 0
4
votes
8
replies
1.6k
views
EdgeR: batches and samples over-specify system, how to contrast un-modeled variables?
edger
glmlrt()
differential expression
design and contrast matrix
updated 7.7 years ago by
Gordon Smyth
47k • written 7.7 years ago by
carlgdeboer
• 0
4
votes
15
replies
1.3k
views
Adjusting for procedural effect and deciding on statistical test
EdgeR
glmlrt()
ql f-test
6.4 years ago • updated 5.7 years ago
elineverbon
▴ 20
2
votes
2
replies
1.0k
views
EdgeR User Guide: use of glmLRT vs glmQLF in oral carcinoma Case Study
edger
design matrix
glmlrt()
glmQFTest()
paired design
4.4 years ago
oakhamwolf
• 0
1
vote
6
replies
848
views
design of edgeR GLM test
edger
differential gene expression
glmlrt()
6.3 years ago • updated 6.2 years ago
simarsidhu25
• 0
9 results • Page
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Replies
Answer: Time-course, comparison of two groups
by
Gordon Smyth
47k
edgeR allows any number of explanatory factors, so you can have time-series for any number of treatments. If you have replicates, then I w…
Comment: different number of DEG because of outliers
by
Pedro Baldoni
▴ 30
The function `catchKallisto` in edgeR reads in the output from kallisto and estimates the mapping ambiguity overdispersion similarly
Comment: How to compute(calculate) rlog and vst provided from DESeq2
by
tstpp
• 0
Thank you for your kind reply! I try to understand them.
Answer: DESeqDataSetFromMatrix NA values
by
ATpoint
★ 2.3k
You have NAs in your matrix, simple as that. The check that runs internally is really just a `any(is.na(cts))`. Your check `is.numeric()` i…
Comment: How to compute(calculate) rlog and vst provided from DESeq2
by
Wolfgang Huber
13k
FWIW, you can also search all of Bioconductor code via https://code.bioconductor.org e.g. https://code.bioconductor.org/search/search?q=vst
Votes
C: deseq2 normalized data with heatmap
C: deseq2 normalized data with heatmap
C: deseq2 normalized data with heatmap
A: deseq2 normalized data with heatmap
Postdoc at EMBL: spatial and single-cell computational biology for precision oncology, based in Heidelberg, Germany
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