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limma Intercept vs No-intercept models completely changing DMR results?
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26
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package goseq seems to be not available on the latest version of R
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CombineArrays for EPIC and EPIC V2
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2 days ago • updated 1 day ago kcarey • 0
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flowStats for CyTOF
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1 day ago tholmes • 0
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2
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simpleaffy
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113
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13 days ago • updated 2 days ago Chris • 0
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49 results • Page 1 of 1
Recent ...
Replies
Answer: limma Intercept vs No-intercept models completely changing DMR results? by Gordon Smyth 50k
You seem to have the misunderstanding that you can change the design matrix but keep all the other code unchanged. The contrasts are comput…
Answer: package goseq seems to be not available on the latest version of R by Gordon Smyth 50k
It is true that goseq isn't available for Bioc 3.19. That is because goseq depends on txbmaker, which is itself not yet available for Bioc…
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…
Votes
Answer: limma Intercept vs No-intercept models completely changing DMR results?
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
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