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rrbs
•
reset
4
votes
5
replies
1.6k
views
edgeR for a mixture experiment
edgeR
model-selection
RRBS
mixture-experiment
4.8 years ago
ingerslev
• 0
0
votes
2
replies
1.3k
views
MethylCC for RRBS data of Cord Blood
MethylCC
RRBS
cord blood
5.5 years ago
weichen-cls
• 0
0
votes
0
replies
1.1k
views
Does it make sense to use Biseq for DMPs/DMCs in addition to DMRs?
Biseq
Methylation
DMP
DMR
RRBS
5.5 years ago
i.s.castanho
• 0
0
votes
1
reply
1.0k
views
BiSeq - betaResults output only contains chr1 and chr2
biseq
betaRegression
RRBS
Methylation
5.8 years ago
i.s.castanho
• 0
5
votes
14
replies
3.0k
views
Odd P-value distribution in edgeR on RRBS data
edgeR
rrbs
updated 7.0 years ago by
Gordon Smyth
53k • written 7.0 years ago by
ingerslev
• 0
0
votes
4
replies
3.4k
views
MethylKit read in issue
methykit
rrbs
updated 7.7 years ago by
Mike Smith
★ 6.6k • written 7.7 years ago by
bekah
▴ 40
0
votes
3
replies
2.1k
views
scalability of edgeR on RRBS methylation data
edgeR
methyation
RRBS
updated 8.0 years ago by
Gordon Smyth
53k • written 8.0 years ago by
osa.zuta
▴ 40
0
votes
1
reply
1.5k
views
BiSeq - modelling options betaRegression
biseq
RRBS
betaregression
8.8 years ago
l.eijssen
• 0
1
vote
4
replies
2.6k
views
Using SVA with RRBS data
sva
RRBS
updated 8.9 years ago by
Jeff Leek
▴ 650 • written 8.9 years ago by
mrodrigues.fernanda
▴ 10
0
votes
3
replies
2.3k
views
SVA package for RRBS - bisulfite methylation data
rrbs
batch effect
methylation
sva
updated 9.3 years ago by
dashbrook1
• 0 • written 10.5 years ago by
GFM
▴ 20
4
votes
2
replies
2.0k
views
Bounded Regression with Limma for RRBS?
limma
rrbs
bsseq
updated 9.6 years ago by
Aaron Lun
★ 29k • written 9.6 years ago by
nhejazi
• 0
0
votes
5
replies
2.7k
views
SAAP-BS data analysis (RRBS) - BiSeq use and Coverage Histogram
biseq
RRBS
SAAP-BS
coverage
10.7 years ago
maria.maqueda
• 0
12 results • Page
1 of 1
Recent ...
Replies
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…
Votes
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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