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metaMSdata
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featureCounts reports an error:"featureCounts: input-files.c:2890: SAM_pairer_get_next_read_BIN: Assertion `l_name < 256' failed. Aborted (core dumpe…
metaMSdata
11 days ago • updated 9 days ago
shuwangxinze1996
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Doing comparison of RNA-seq data using EdgeR
metaMSdata
edgeR
updated 5 weeks ago by
Gordon Smyth
50k • written 5 weeks ago by
Faisal
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2
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201
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Visium RNA
metaMSdata
updated 6 weeks ago by
vvvc360work2
• 0 • written 6 weeks ago by
Karlison
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1
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How to control RAN-seq samples from different libraries
metaMSdata
updated 3 months ago by
James W. MacDonald
65k • written 3 months ago by
jianyang.liu
• 0
4 results • Page
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Answer: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Poonam
• 0
Hi Michael, I think there is something wrong with the generation of nullranges. I was working with small RNA and methylation overlaps. …
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…
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…
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Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
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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