updated 19 months ago by
ATpoint
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written 3.6 years ago by
liqidong52
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Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
dan.gatti
•
0
Very strange. We have the same package versions.
I tried adding the mtx.class, type, and delayed arguments, but it's still making the coun…
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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