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Software Compatibility Issue Between phyloseq and lme4 Packages
phyloseq
microbiome
Software
updated 7 months ago by
ATpoint
★ 4.1k • written 7 months ago by
HULFRED
▴ 10
1
vote
1
reply
116
views
Dominance Index for Shotgun Metagenomics Data
microbiome
updated 8 days ago by
Leo Lahti
▴ 40 • written 8 days ago by
Dario Strbenac
★ 1.5k
0
votes
1
reply
706
views
Query regarding phyloseq object construct with QIIME output
phyloseq
microbiome
Metagenomics
updated 22 days ago by
President Gamer
• 0 • written 11 months ago by
abhisek001
• 0
0
votes
2
replies
495
views
DESeq2 for microbiome data: raw counts or percentages?
microbiome
DESeq2
5 months ago
anton.kratz
▴ 60
0
votes
0
replies
370
views
Try to understand better how to set out an effective sample size within the MetagenomSeq package in microbiome ?
Metagenomics
metagenomeSeq
microbiome
phyloseq
microbiomeDataSets
8 months ago
Mohamed
▴ 30
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. …
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 (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…
Votes
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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