2.2 years ago
Ethan Nguyen
•
0
3
votes
3
replies
3.5k
views
2
votes
4
replies
2.6k
views
2.6 years ago
vk
•
0
0
votes
5
replies
6.0k
views
updated 3.8 years ago by
ATpoint
★
5.0k
•
written 4.6 years ago by
Xiaojie Cheng
•
0
1
vote
4
replies
6.0k
views
0
votes
1
reply
2.9k
views
updated 4.5 years ago by
Kevin Blighe
★
4.0k
•
written 4.5 years ago by
lkianmehr
•
0
1
vote
4
replies
1.6k
views
updated 5.0 years ago by
Michael Love
43k
•
written 5.2 years ago by
m.metsger
•
0
2
votes
5
replies
17k
views
updated 2.1 years ago by
Hamza
•
0
•
written 6.9 years ago by
chiara.facciotto
•
0
9
votes
5
replies
6.5k
views
updated 7.1 years ago by
Steve Lianoglou
★
13k
•
written 7.1 years ago by
Harrisonesmith
•
0
2
votes
4
replies
2.7k
views
1
vote
2
replies
1.7k
views
0
votes
1
reply
2.0k
views
7.5 years ago
Ina Hoeschele
▴
620
4
votes
4
replies
6.4k
views
1
vote
8
replies
4.0k
views
updated 4.3 years ago by
Michael Love
43k
•
written 8.3 years ago by
rhart
•
0
1
vote
1
reply
1.6k
views
5
votes
5
replies
3.6k
views
updated 9.1 years ago by
Gordon Smyth
53k
•
written 9.1 years ago by
Sara
▴
20
5
votes
9
replies
6.9k
views
9.2 years ago
komal.rathi
▴
120
3
votes
4
replies
2.5k
views
2
votes
8
replies
5.1k
views
updated 10.3 years ago by
Michael Love
43k
•
written 10.3 years ago by
ashley.doane
▴
20
7
votes
4
replies
3.3k
views
updated 10.6 years ago by
Gordon Smyth
53k
•
written 10.6 years ago by
thibault.lorin
▴
10
Recent ...
Replies
Comment: Getting a large intercept with DESeq2
by
Michael Love
43k
Thanks James -- Denise you can check the "note on factor levels" in the vignette.
And I'd recommend `plotCounts()` for looking at individu…
Comment: Getting a large intercept with DESeq2
by
James W. MacDonald
68k
As a trivial example, consider this:
```
> model.matrix(~Treatment, data.frame(Treatment = factor(rep(1:3, each = 4))))
(Intercept) Tre…
Answer: Getting a large intercept with DESeq2
by
James W. MacDonald
68k
The default parameterization in R is a treatment-contrasts parameterization that sets one of your groups as the baseline. So the intercept …
Answer: Must I do pseudobulk analysis on Cell Surface Protein Labeling data of Single C
by
ATpoint
★
5.0k
There is no "MUST", but pseudobulk aggregation is beneficial to a) enable use of tested and robust methods such as limma (though it could u…
Answer: Post translational modifications and phosphoproteomics in limpa?
by
Gordon Smyth
53k
Yes, we use limpa for PTMs ourselves. I assume your data is preprocessed so that each row corresponds to a PTM. You replace dpcQuant() with…
Votes
Awards
• All
Popular Question to
Stephen Piccolo
▴
600
Popular Question to
Maria Doyle
▴
100
Popular Question to
Hervé Pagès
16k
Popular Question to
shepherl
4.2k
Scholar to
James W. MacDonald
68k
Locations
• All
United States, 1 hour ago
Barcelona, Spain, 2 hours ago
The city by the bay, 3 hours ago
United States, 3 hours ago
Germany, 3 hours ago
United States, 1 hour ago
Barcelona, Spain, 2 hours ago
The city by the bay, 3 hours ago
United States, 3 hours ago
Germany, 3 hours ago
Traffic: 1158 users visited in the last hour
Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by the
version 2.3.6
version 2.3.6