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updated 10 months ago by 50k • written 10 months ago by ▴ 10
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updated 7 months ago by 16k • written 2.6 years ago by ▴ 10
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10 months ago bhandary.8590 ▴ 20
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3 months ago Luca • 0
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updated 8 months ago by ▴ 10 • written 8 months ago by ▴ 10
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Does countsFromAbundance="lengthScaledTPM" produce un-normalized counts?
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updated 7 months ago by 41k • written 8 months ago by • 0
4
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6
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749
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[BUG] Rsubread::featureCounts quirk in CORE files: different target list ordering for same target lists
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3 months ago isaac.vock • 0
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4
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5 months ago pl23 • 0
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3
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11 months ago Ortega-C ▴ 10
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NanoStringDiff counts not numeric
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updated 3 months ago by • 0 • written 5.0 years ago by ▴ 10
1,743 results • Page 3 of 35
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Answer: Once again a "Model matrix not full rank" by swbarnes2 ★ 1.3k
Replicate numbers, like the 1 in control_1 are fine in sample names, but never add them to anything else in colData. From the computer's p…
Answer: limma Intercept vs No-intercept models completely changing DMR results? by Gordon Smyth 50k
I'll add a little bit of general advice to James' answer. You seem to have the misunderstanding that you can change the design matrix but …
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…
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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!
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
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