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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
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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
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James W. MacDonald
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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…
Comment: Join BOC Sciences at Drug Discovery Chemistry
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teamardigen
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Sounds like an exciting event for anyone passionate about small molecule innovation. The focus on discovery and optimization really drives …
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