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gofuncr
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question about the refined outputs from GOfuncR package
GOfuncR
2.5 years ago • updated 23 months ago
capricygcapricyg
▴ 10
0
votes
2
replies
832
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Graphically Represent p-values from plot_annot_score in package GOfuncR
GOfuncR
plot_anno_scores
plot_stats
updated 5.6 years ago by
steffi_grote
• 0 • written 5.6 years ago by
rbenel
▴ 40
0
votes
1
reply
686
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I want to convert the go enrichment result to a data frame (tidy data)with two column which one is the gene symbol and the other is go term. Any one…
GO.db
GOfuncR
GO
GOSim
goProfiles
updated 19 months ago by
Basti
▴ 780 • written 19 months ago by
yeluo
• 0
1
vote
3
replies
630
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GOfuncR fails to build on Mac OS
GOfuncR
updated 3 months ago by
Steffi Grote
▴ 10 • written 7 months ago by
Marek Gierlinski
▴ 30
0
votes
1
reply
521
views
Gene enrichment analysis
analysis
R
GOfuncR
updated 10 months ago by
Lluís Revilla Sancho
▴ 730 • written 10 months ago by
Eliza
• 0
5 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. …
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swbarnes2
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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…
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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 …
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It is true that goseq isn't available for Bioc 3.19 (as at 4 May 2024). In the meantime, you could consider using the goana() and kegga() …
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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