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dea
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How does edgeR calculate fold change?
DifferentialExpression
DEA
FC
FoldChange
edgeR
3.3 years ago
zhxiaokang
▴ 20
0
votes
4
replies
2.1k
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Simple differential expression analysis for 2 groups
differential gene expression
agilent microarrays
microarray
DEA
Limma
6.4 years ago
christiangriffioen
• 0
2
votes
1
reply
921
views
combine two differential expression methods
edger
deseq2
dea
publish
updated 7.3 years ago by
Aaron Lun
★ 28k • written 7.3 years ago by
roser.navarro
• 0
3 results • Page
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Answer: Differential variability modelling with vst() expression
by
Gordon Smyth
52k
See Phipson, B., Oshlack, A. DiffVar: a new method for detecting differential variability with application to methylation in cancer and …
Answer: Differential variability modelling with vst() expression
by
Michael Love
43k
Looking at differential variance across groups, where you regress out orthogonal nuisance factors from VST data, seems correct and would po…
Answer: Installation error for Rsamtools.
by
James W. MacDonald
67k
It's already installed. Note the warning: ``` Warning message: package(s) not installed when version(s) same as or greater than curren…
Comment: Different annotation packages (org.Mm.eg.db, EnsDb.Mmusculus.v79, BiomaRt) retu
by
Nicholas
• 0
Just an update on this: I tried ```tximport``` with ```tx2gene``` objects from the three annotation packages and from the GTF file itself. …
Comment: Different annotation packages (org.Mm.eg.db, EnsDb.Mmusculus.v79, BiomaRt) retu
by
Nicholas
• 0
Got it, so using the GTF directly rather than any of the annotation packages will yield more accurate results than any of the packages? I g…
Votes
Comment: Different annotation packages (org.Mm.eg.db, EnsDb.Mmusculus.v79, BiomaRt) retu
Answer: Different annotation packages (org.Mm.eg.db, EnsDb.Mmusculus.v79, BiomaRt) retu
Comment: Why did PCA plots look exactly the same after adjusting for batch covariate in D
Why did PCA plots look exactly the same after adjusting for batch covariate in DESeq2 design?
A: Trajectory analysis for single cell sequencing
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