16 months ago
Ozan
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4
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14
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2.6k
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3
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2.4k
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updated 23 months ago by
Guido Hooiveld
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Aastha Kapoor
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updated 9.1 years ago by
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written 9.1 years ago by
Guido Hooiveld
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4.1k
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13
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3.7k
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updated 9.7 years ago by
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written 9.8 years ago by
Guido Hooiveld
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updated 9.9 years ago by
Robert Castelo
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written 9.9 years ago by
efoss
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updated 10.9 years ago by
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written 11.2 years ago by
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120
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2
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updated 11.0 years ago by
James W. MacDonald
68k
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written 11.0 years ago by
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updated 11.1 years ago by
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written 11.1 years ago by
artur
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80
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280
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written 11.9 years ago by
Hervé Pagès
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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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