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lipidr
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Lipidomics Barplot: raw values or non-log, lipidr-normalized values?
Normalization
Lipidomics
lipidr
11 months ago
David R
▴ 90
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783
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when to use filter_by_cv() function from the lipidr package
Lipidomics
lipidr
lipi
4.9 years ago
eme
• 0
3
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3
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1.2k
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How are the P and adjusted P values calculated in de_analysis() from Lipidr?
lipidr
updated 5.6 years ago by
ahmed.mohamed
▴ 10 • written 5.7 years ago by
yoyoStat
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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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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 …
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
dan.gatti
• 0
I am, but perhaps I'm not understanding how it should work. > sse = DropletUtils::read10xCounts(curr_files[1], mtx.class = 'SVT_Sparse…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
Did you use the development version as Aaron suggested? There is an argument to read the market matrix file directly into an `SVT_SparseMat…
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Drug datasets for RNA-seq
Comment: Check removeBatchEffect effectiveness
Comment: Streamlining the computing time for MiloDE p-value correction in large dataset?
Answer: DESeq2 design for haplotype MPRA
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