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R update
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Biocgenerics updating problem on ubuntu 17.10
bioconductor
biocgenerics
ubuntu
package updates
r update
7.3 years ago
siinemselvi
• 0
3
votes
3
replies
3.8k
views
problem reinstalling Bioconductor package 'clusterProfiler' after updating R to 3.4.0
clusterprofiler
package installation
r update
updated 7.8 years ago by
tjiagoM
▴ 10 • written 7.8 years ago by
klv2706w
▴ 10
2
votes
1
reply
4.8k
views
Upgrade to Bioconductor 3.4 - problems with R
r update
upgrade
bioclite
updated 8.3 years ago by
James W. MacDonald
68k • written 8.3 years ago by
Lna
• 0
0
votes
2
replies
1.9k
views
package ‘virtualArray’ is not available (for R version 3.2.1)
r update
updated 9.6 years ago by
Martin Morgan
25k • written 9.6 years ago by
filip.roudnicky
• 0
3
votes
11
replies
6.8k
views
Problems getting Bioc 3.1 after upgrade to R_3.2.0
biocinstaller
r update
9.9 years ago • updated 9.8 years ago
meeta.mistry
▴ 30
3
votes
11
replies
15k
views
Problems updating Bioconductor with R 3.2.0
upgrade
r update
updated 9.9 years ago by
Dan Tenenbaum
★ 8.2k • written 9.9 years ago by
daniil.sarkisyan
▴ 10
2
votes
2
replies
2.1k
views
R 3.1.1 - Update error
R update
updated 10.3 years ago by
James W. MacDonald
68k • written 10.3 years ago by
AJC
▴ 10
7 results • Page
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Comment: Use of limma R package with targeted proteomics for DE analysis
by
svlachavas
▴ 840
Dear Gordon, thank you for returning back ! Actually the output is not "NPX"-as indeed it most frequent output for a lot of pannels-but as …
Comment: how many significant figures are there in DESeq2 output
by
ATpoint
★ 4.7k
If you want consistency then use a fixed software environment like Docker, wirh fixed code and thresholds that make sense. Rounding to near…
Comment: Compare TCGA-PAAD with GTEx gene expression
by
Jane
• 0
why aren't there any answers?
Comment: Too many significant genes when integrating gtex and tcga
by
Jane
• 0
I encountered the same issue: too many DEGs after limma analysis. It is sad that until today we can still see the paper published where GTE…
Comment: how many significant figures are there in DESeq2 output
by
Matthew McCormack
▴ 180
Thank you for your reply. It is good to know that cutoff of 0.05 means less than 0.05. My concerns are about consistency and reproducibili…
Votes
Comment: Use of limma R package with targeted proteomics for DE analysis
A: Unbalanced experiment with multiple samples from each patient.
Unbalanced experiment with multiple samples from each patient.
Answer: Vertical line at A=0, nothing else, on MA plot
Answer: GSVA Error Code "Calling gsva(expr=., gset.idx.list=., method=., ...) is defunct
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