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ape
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1.2k
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ape::dnds produces nan value
R
ape
dnds
nan
nanotubes
2.9 years ago
Working
• 0
0
votes
1
reply
1.7k
views
Difficulty with msaConvert function in R package
ape
msa
updated 3.5 years ago by
UBod
▴ 300 • written 3.9 years ago by
João Tadeu
• 0
0
votes
1
reply
1.6k
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Issues while downloading supraHex package in Linux
supraHex
nlme
hexbin
ape
updated 8.0 years ago by
Martin Morgan
25k • written 8.0 years ago by
agneet257
• 0
0
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0
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1.7k
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Phylogenetic tree from marker genes
ape
phyloseq
dist
metagenomics
8.5 years ago
David
▴ 860
0
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1
reply
4.5k
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ape - delete bootstrap values (node.labels) less than a certain value
ape
bootstrap
node
phylogenetic
tree
10.4 years ago
wd
▴ 30
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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
Aaron already answered your question. If you have an HDF5 file, it will be read in as a `TENxMatrix` object, which isn't actually read in -…
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…
Votes
A: Multi-level experiments in Limma
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Answer: DESeq2 for candidate gene analysis
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