5 weeks ago • updated 21 days ago
shepherl
4.2k
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0
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104
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2
replies
276
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2
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0
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765
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1
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691
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12 months ago • updated 6 months ago
shepherl
4.2k
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0
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341
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11
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2.4k
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20 months ago • updated 12 months ago
shepherl
4.2k
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1
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1.5k
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written 2.9 years ago by
Robert Castelo
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3.4k
3
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18
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4.6k
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2.3 years ago • updated 18 months ago
shepherl
4.2k
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4
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2.0k
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0
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3
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1.2k
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0
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2
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1.5k
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2.5 years ago • updated 2.4 years ago
shepherl
4.2k
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votes
2
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961
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2.4 years ago
Franck RICHARD
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0
3
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6
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1.8k
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updated 2.6 years ago by
darrelvanhoy
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0
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written 2.6 years ago by
shepherl
4.2k
1
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2
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1.8k
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2.7 years ago
Amanda D. Clark
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0
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0
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909
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2
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1.2k
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3.0 years ago
shepherl
4.2k
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1.1k
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3.0 years ago
shepherl
4.2k
4
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1.2k
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3
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1.3k
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updated 3.4 years ago by
Gordon Smyth
53k
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written 3.4 years ago by
Jonathan
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0
0
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4
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1.8k
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3.6 years ago • updated 3.0 years ago
shepherl
4.2k
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0
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970
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3.6 years ago
shepherl
4.2k
1
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1.3k
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4
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2
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1.6k
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4.1 years ago
Guillaume Devailly
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60
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2
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2.1k
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updated 4.1 years ago by
Mike Smith
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6.6k
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written 4.1 years ago by
Franck
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0
1
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1.4k
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0
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0
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1.2k
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4.2 years ago
shepherl
4.2k
2
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9
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2.3k
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updated 4.3 years ago by
kayla.interdonato
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160
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written 4.4 years ago by
athief
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20
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1.1k
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0
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0
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1.2k
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4.5 years ago
shepherl
4.2k
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1.3k
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0
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0
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1.1k
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5.6 years ago
shepherl
4.2k
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1.3k
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1.2k
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1.6k
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1.5k
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1
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1
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2.4k
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updated 9.9 years ago by
Martin Morgan
25k
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written 9.9 years ago by
MarcinKosiński
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0
3
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1
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1.6k
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updated 10.4 years ago by
Martin Morgan
25k
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written 10.4 years ago by
andrew.j.skelton73
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370
Recent ...
Replies
Comment: Interpretation of output of AffyRNAdeg and hist commands
by
debasainalsa
•
0
When working with AffyRNAdeg output it helps to think of the table like browsing a HEYTEA Menu each row shows a feature of your slides and …
Comment: DESeq2 for candidate gene analysis
by
piffelpaff
▴
20
thank you so much for answering Dr. Love!
Answer: DESeq2 for candidate gene analysis
by
Michael Love
43k
Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
Oh.
```
> z <- read10xCounts(c(tmpdir, tmpdir), mtx.class = "SVT_SparseMatrix", delayed = TRUE)
> class(counts(z))
[1] "DelayedMatrix"
att…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
That's weird. Using the example data works for me.
```
> example(read10xCounts)
rd10xC> # Mocking up some 10X genomics output.
rd10xC> ex…
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