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503
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Levi Waldron
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17 months ago
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written 22 months ago by
Levi Waldron
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2.4 years ago
Vitor Heidrich
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updated 2.6 years ago by
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updated 2.7 years ago by
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Pauline
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updated 7.1 years ago by
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updated 8.8 years ago by
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updated 8.9 years ago by
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Recent ...
Replies
Comment: Interpretation of output of AffyRNAdeg and hist commands
by
debasainalsa
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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
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20
thank you so much for answering Dr. Love!
Answer: DESeq2 for candidate gene analysis
by
Michael Love
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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
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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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