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confounding
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adjusting for confounding effects in edgeR
edger
confounding
updated 5.4 years ago by
Aaron Lun
★ 28k • written 5.4 years ago by
Victoria
• 0
0
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0
replies
1.2k
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Possible confounding of variable of interest with batch covariate and Partial NA coefficients when including batch in limma linear model for microarr…
limma
batch effect
design matrix
microarray
confounding
7.5 years ago
svlachavas
▴ 830
8
votes
3
replies
3.0k
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[Limma] Testing continuous variable with interaction
limma
voom
continuous
interactions
confounding
8.1 years ago
lanhuong
▴ 20
1
vote
9
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3.9k
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LIMMA for paired analysis with adjustment for confounding continuous variables
limma
gene expression
confounding
adjustment
paired
9.0 years ago
Loodramon
• 0
0
votes
4
replies
1.9k
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Use of confounders in downstream analysis
limma
GSA
confounding
within-pair analysis
450k
9.5 years ago
Aileen Bahl
▴ 10
5 results • Page
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Comment: DESeq Input from Salmon + tximport/tximeta
by
ATpoint
★ 4.5k
> If I use gene_counts_length_scaled.tsv as a metric that has already normalized for library size and the average transcript length No, o…
Answer: Consistent Decimals In Data After Antibody Array Background Correction Using Lim
by
Gordon Smyth
51k
`nec` computes one set of negative control parameters (mu, sigma, alpha) for each sample. For values much larger than the background, the e…
Comment: DESeq Input from Salmon + tximport/tximeta
by
LuciaNhu
• 0
Thank you to the author for the quick reply. If I use `gene_counts_length_scaled.tsv` as a metric that has already normalized for library s…
Answer: DESeq Input from Salmon + tximport/tximeta
by
Michael Love
42k
Given nf-core's pipeline here, you can use rounded counts from `gene_counts_length_scaled.tsv`.
Comment: Question about using LRT test for time course experiments with DESeq2
by
James W. MacDonald
67k
You don't want to add a logFC on top like that, as it invalidates the p-value. Maybe I wasn't clear before. The LRT gives you all the gene…
Votes
Answer: DESeq Input from Salmon + tximport/tximeta
Answer: featureCounts segmentation fault with large chromosomes
Answer: Supercells with Basilisk fails for dtype('float64') to dtype('int64') conversion
Comment: Extension to knitr/Rmarkdown to ignore only specific warnings (not all) in a chu
Comment: Extension to knitr/Rmarkdown to ignore only specific warnings (not all) in a chu
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