Showing : confounding • reset
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adjusting for confounding effects in edgeR
edger confounding
updated 5.4 years ago by ★ 28k • written 5.4 years ago by • 0
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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
7.6 years ago svlachavas ▴ 830
8
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[Limma] Testing continuous variable with interaction
limma voom continuous interactions confounding
8.2 years ago lanhuong ▴ 20
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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
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Use of confounders in downstream analysis
limma GSA confounding within-pair analysis 450k
9.6 years ago Aileen Bahl ▴ 10
5 results • Page 1 of 1
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Comment: Differene between the Wald and LRT test for time-series gene expression data by Denise • 0
This makes a lot of sense, thank you very much!
Comment: Downloading Metagenomic Data with Higher Taxonomic Units by elozanoe • 0
Hi! I'm facing the same problem. Is there any easy way to output relative abundances of higher taxonomic units (up to kingdom), similar to…
Comment: Is it recommended to analyze different tissues together when using edgeR by Gordon Smyth 51k
Just plot the samples with plotMDS(). Alternatively you would use `voomLmFit()` with `sample.weights=TRUE` or `var.group=tissue`. In princ…
Comment: Handling Epic Array Data by Melisa Tecik • 0
Thanks a lot for the help. You saved my day
Answer: Differene between the Wald and LRT test for time-series gene expression data by James W. MacDonald 67k
The advantage to using the LRT is that it's an omnibus test that tells you if there are changes at any time point. If you have lots of time…
Votes
A: correcting the batch effects in Limma and SVA
A: Using of limma moderated t-test with "corrected" expression matrix resulting fr
A: Using of limma moderated t-test with "corrected" expression matrix resulting fr
Answer: Differene between the Wald and LRT test for time-series gene expression data
Answer: Using voom-transformed counts for unsupervised analyses (PCA, Random Forest, Ela
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Scholar to Gordon Smyth 51k
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Scholar to James W. MacDonald 67k
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