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Showing :
confounding
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8
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3
replies
3.1k
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[Limma] Testing continuous variable with interaction
limma
voom
continuous
interactions
confounding
8.3 years ago
lanhuong
▴ 20
1
vote
6
replies
2.6k
views
adjusting for confounding effects in edgeR
edger
confounding
updated 5.6 years ago by
Aaron Lun
★ 28k • written 5.6 years ago by
Victoria
• 0
1
vote
9
replies
4.0k
views
LIMMA for paired analysis with adjustment for confounding continuous variables
limma
gene expression
confounding
adjustment
paired
9.2 years ago
Loodramon
• 0
0
votes
4
replies
1.9k
views
Use of confounders in downstream analysis
limma
GSA
confounding
within-pair analysis
450k
9.7 years ago
Aileen Bahl
▴ 10
0
votes
0
replies
1.3k
views
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
7.7 years ago
svlachavas
▴ 840
5 results • Page
1 of 1
Recent ...
Replies
Comment: Why did PCA plots look exactly the same after adjusting for batch covariate in D
by
Michael Love
43k
hi, for questions about what statistical analysis approach to use, I recommend you work with a local statistician or someone familiar with …
Comment: Problems with oarfish + tximport + swish
by
Michael Love
43k
I'm not certain that this will work with Oarfish, the documentation only mentions Salmon and piscem. I'd use tximport for now.
Answer: Problems with oarfish + tximport + swish
by
Michael Love
43k
> This is fine Did tximeta() print that a matching transcriptome was found?
Answer: DESeq2 Heatmap
by
swbarnes2
★ 1.4k
> However, I've been asked why the first column (vehicle/control) isn't > entirely zero on the log fold change (logFC) expression scale. …
Comment: Biomart and ensembl not working?
by
James W. MacDonald
67k
``` > library(biomaRt) > mart <- useEnsembl("ensembl","hsapiens_gene_ensembl") Ensembl site unresponsive, trying useast mirror > mart Objec…
Votes
Answer: Limma Interaction Effect with Covariates
Comment: DESeq2 for single cell pseudobulk processing
C: Limma: how to get same output as topTable but for all the genes ?
A: Processing agilent data by limma
A: Linear regression in DESeq2
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