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metabolite data
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1.4k
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XCMS2 of orbitrap data
metabolite data
xcms2
updated 18 months ago by
Elodie
• 0 • written 9.0 years ago by
Yashwant
▴ 10
5
votes
2
replies
1.6k
views
Is there any annotation package for MSEA?
metabolite data
updated 7.4 years ago by
shepherl
4.3k • written 7.4 years ago by
knishida
▴ 20
3
votes
5
replies
2.0k
views
Limma validity for only hundreds of genes/metabolites
limma
metabolite data
moderated t-test
updated 8.5 years ago by
Aaron Lun
★ 29k • written 8.5 years ago by
iglezer
• 0
2
votes
1
reply
1.5k
views
R package "metaboliteData" for package "pcaMethods"
metaboliteData
pcaMethods
pcamethods
r package
metabolite Data
updated 9.1 years ago by
Valerie Obenchain
★ 6.8k • written 9.1 years ago by
lukasz.galecki
▴ 10
4 results • Page
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Comment: DESeq2 - how many surrogate variables from svaseq, use of lfcshrink
by
ja569116
• 0
Hi @atpoint Thanks for the information. Could you please expand on when to use adjusted p-values vs nominal p-values. My understanding was …
Answer: limpa analysis advice
by
Gordon Smyth
53k
It is actually very hard to estimate the DPC from observed data, because the curve is function of unobserved intensities rather than a func…
Answer: When to use edgeR or limma
by
Gordon Smyth
53k
The short answer is that we generally prefer edgeR for applications with lots of small counts and limma for complex designs with random eff…
Comment: limpa-blank normalization and Spectronaut's PTM stoichiometry
by
Gordon Smyth
53k
I updated the above answer today.
Answer: When to use edgeR or limma
by
James W. MacDonald
68k
I would use edgeR's quasi-likelihood model for any analysis with a smaller number of observations (like 3 vs 3 or similar), but if you have…
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Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
A: deseq2 - paired samples in 2 sequencing types with very different library sizes
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