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r update
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2.8k
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Biocgenerics updating problem on ubuntu 17.10
bioconductor
biocgenerics
ubuntu
package updates
r update
8.0 years ago
siinemselvi
• 0
3
votes
3
replies
4.2k
views
problem reinstalling Bioconductor package 'clusterProfiler' after updating R to 3.4.0
clusterprofiler
package installation
r update
updated 8.5 years ago by
tjiagoM
▴ 10 • written 8.5 years ago by
klv2706w
▴ 10
2
votes
1
reply
5.0k
views
Upgrade to Bioconductor 3.4 - problems with R
r update
upgrade
bioclite
updated 9.0 years ago by
James W. MacDonald
68k • written 9.0 years ago by
Lna
• 0
0
votes
2
replies
2.1k
views
package ‘virtualArray’ is not available (for R version 3.2.1)
r update
updated 10.3 years ago by
Martin Morgan
25k • written 10.3 years ago by
filip.roudnicky
• 0
3
votes
11
replies
7.2k
views
Problems getting Bioc 3.1 after upgrade to R_3.2.0
biocinstaller
r update
10.6 years ago
meeta.mistry
▴ 30
3
votes
11
replies
15k
views
Problems updating Bioconductor with R 3.2.0
upgrade
r update
updated 10.6 years ago by
Dan Tenenbaum
★ 8.2k • written 10.6 years ago by
daniil.sarkisyan
▴ 10
2
votes
2
replies
2.3k
views
R 3.1.1 - Update error
R update
updated 11.0 years ago by
James W. MacDonald
68k • written 11.0 years ago by
AJC
▴ 10
7 results • Page
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Comment: Getting a large intercept with DESeq2
by
Michael Love
43k
Thanks James -- Denise you can check the "note on factor levels" in the vignette. And I'd recommend `plotCounts()` for looking at individu…
Comment: Getting a large intercept with DESeq2
by
James W. MacDonald
68k
As a trivial example, consider this: ``` > model.matrix(~Treatment, data.frame(Treatment = factor(rep(1:3, each = 4)))) (Intercept) Tre…
Answer: Getting a large intercept with DESeq2
by
James W. MacDonald
68k
The default parameterization in R is a treatment-contrasts parameterization that sets one of your groups as the baseline. So the intercept …
Answer: Must I do pseudobulk analysis on Cell Surface Protein Labeling data of Single C
by
ATpoint
★ 5.0k
There is no "MUST", but pseudobulk aggregation is beneficial to a) enable use of tested and robust methods such as limma (though it could u…
Answer: Post translational modifications and phosphoproteomics in limpa?
by
Gordon Smyth
53k
Yes, we use limpa for PTMs ourselves. I assume your data is preprocessed so that each row corresponds to a PTM. You replace dpcQuant() with…
Votes
Answer: What R/Bioconductor tools would you recommend for the analysis of sncRNA, specif
Using edgeR or DESeq2 to analyze allele-specific expression?
Answer: DESeq2 design for haplotype MPRA
Answer: Failure to download resources (MeSHDb) from AnnotationHub
Answer: Failure to download resources (MeSHDb) from AnnotationHub
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