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statistical power
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4
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sample size determination in microarrays studies with limma analysis
limma
sample size
microarrays
statistical power
6.9 years ago
eleonoregravier
▴ 70
2
votes
4
replies
1.4k
views
design microarrays limma
limma
statistical power
design
variability
microarray
updated 7.4 years ago by
Aaron Lun
★ 28k • written 7.4 years ago by
roser.navarro
• 0
3
votes
3
replies
1.9k
views
csaw: how does unequal sample size affect filtering filterWindows step
csaw
differential binding analysis
sample size
independent filtering
statistical power
updated 7.5 years ago by
Aaron Lun
★ 28k • written 7.5 years ago by
zhangly811
• 0
2
votes
3
replies
17k
views
Removing genes with very low counts in all samples before run DESeq
deseq2
statistical power
independent filtering
10.3 years ago
alejandro.colaneri
▴ 20
4 results • Page
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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…
Comment: DiffBind edgeR normalization --- why are the normalization factors all equal to
by
ATpoint
★ 4.7k
No, normalization factors from edgeR rather than size factors from DESeq2 are not proportional, it's a different concept and implementation…
Votes
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
Answer: Group-specific condition effects with individuals nested: matrix is not full ra
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