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densityplot
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1
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2
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1.1k
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Odd Sample after SWAN normalisation, DNA methylation analysis EPIC array
minfi
normalization
outliers
dna methylation
densityplot
5.7 years ago
peter.fransquet
• 0
1
vote
2
replies
856
views
Stacked density plots not working in for loop (graphical device crashing?)
densityplot
stacked
for loop
6.0 years ago • updated 5.9 years ago
k.teijgeler
• 0
0
votes
3
replies
1.6k
views
MINFI missing samples in qcreports and densityplots
minfi
illumina
methylationEPIC
densityplot
7.3 years ago
annabelle.congras
▴ 10
2
votes
6
replies
2.3k
views
Density plots microarray
microarray
limma
normalization
densityplot
updated 8.1 years ago by
Axel Klenk
★ 1.0k • written 8.1 years ago by
Eleni Christodoulou
▴ 150
0
votes
11
replies
2.8k
views
assign the y-scale relation in flowViz densityplot
flowviz
densityplot
updated 8.4 years ago by
magomudw
• 0 • written 9.1 years ago by
peterfoster
▴ 20
5 results • Page
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Comment: Odd behavior of Rsubread::featureCounts when setting `nonOverlap = 0`
by
isaac.vock
• 0
Thank you for your response. I can confirm that setting `-t exon` and/or removing `-s 1` and adding `-O` has no impact on the number of suc…
Comment: Error retrieving ensembl gene id using biomaRt...
by
James W. MacDonald
65k
Or that. ;-D
Answer: Error retrieving ensembl gene id using biomaRt...
by
Mike Smith
★ 6.5k
I think you have the assignment operator (`<-`) the wrong way round. It should be `df_biomrt_tmp <- getBM(...`
Answer: Error retrieving ensembl gene id using biomaRt...
by
James W. MacDonald
65k
I can't reproduce. ``` > library(biomaRt) Warning message: package 'biomaRt' was built under R version 4.3.2 > library(org.Hs.eg.db…
Comment: DESeq2 setting significant p-value
by
Michael Love
41k
``` > counts <- matrix(1:16, ncol=4, dimnames=list(letters[1:4],NULL)) > coldata <- data.frame(x=1:4) > DESeqDataSetFromMatrix(counts, cold…
Votes
Install/Switch between multiple versions of R, Rstudio, and Bioconductor
A: Docker container with bioconductor and devtools
Answer: OrgDb for maize
Comment: significant difference of p-values with dream() after updating VariancePartition
How to tell and visualize up/down regulation of pathways from clusterprofiler gsea output
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