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Metabolomics
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Tutorial:
Mass Spectrometry Data Analysis with the Spectra Package
mass spectrometry
proteomics
metabolomics
Tutorial
written 3.6 years ago by
Johannes Rainer
★ 2.0k
0
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1
reply
69
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Gene-by-sample covariates in limma
Metabolomics
limma
updated 1 day ago by
Gordon Smyth
50k • written 1 day ago by
c53aba27
• 0
0
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1
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938
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How to make OPLS-DA variable importance plot
crlmm
ropls
Metabolomics
updated 10 months ago by
James W. MacDonald
65k • written 10 months ago by
Charlotte
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Answer: limma Intercept vs No-intercept models completely changing DMR results?
by
James W. MacDonald
65k
This part: ``` design_intercept <- model.matrix(~Alt+Sex+Age+PC1, data=targets_Sherpa) colnames(design_intercept) <- c("AltSHP_LA","Al…
Comment: CombineArrays for EPIC and EPIC V2
by
Kim
• 0
Thank you Tim, this is a great help in getting me started!
Comment: Too many significant genes when integrating gtex and tcga
by
Michael Love
41k
Yes, this was one of the aspects we highlighted in the 2014 paper, and it's also in the workflow. Check these places first. Also take a st…
Answer: Too many significant genes when integrating gtex and tcga
by
James W. MacDonald
65k
See `?results`, in particular the lfcThreshold argument.
Comment: Once again a "Model matrix not full rank"
by
James W. MacDonald
65k
You already ran a temporal assay. Now you can compare each time point to the baseline. The interaction term is only applicable if you have…
Votes
Answer: CombineArrays for EPIC and EPIC V2
Answer: Too many significant genes when integrating gtex and tcga
Comment: Too many significant genes when integrating gtex and tcga
A: Print Differentially Expressed Exons From Dexseq Results
stuck on unimplemented type 'list' in 'EncodeElement'
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