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metagenomeSeq
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2
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no timeInterval output using fitTimeSeries
metagenomeSeq
fitTimeSeries
microbiome
10.8 years ago
noelle.noyes
▴ 30
2
votes
2
replies
1.9k
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error using fitTimeSeries from metagenomeSeq
metagenomeSeq
microbiome
10.8 years ago
noelle.noyes
▴ 30
2
votes
1
reply
3.0k
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metagenomeSeq error using cumNormStatFast
metagenomeSeq
updated 10.8 years ago by
Joseph Nathaniel Paulson
▴ 280 • written 10.8 years ago by
noelle.noyes
▴ 30
0
votes
1
reply
1.9k
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mouseData in heatmap of metagenomeSeq package
Metagenomics
metagenomeSeq
Metagenomics
metagenomeSeq
updated 11.6 years ago by
Joseph Nathaniel Paulson
▴ 280 • written 11.6 years ago by
Guest User
★ 13k
0
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1
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1.9k
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error on heatmap
PROMISE
metagenomeSeq
PROMISE
metagenomeSeq
updated 11.6 years ago by
Joseph Nathaniel Paulson
▴ 280 • written 11.6 years ago by
Guest User
★ 13k
0
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0
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1.4k
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metagenomeSeq paper out in Nature Methods
Normalization
metagenomeSeq
Normalization
metagenomeSeq
12.1 years ago
Hector Corrada Bravo
▴ 40
56 results • Page
2 of 2
Recent ...
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Comment: DESeq2 for candidate gene analysis
by
piffelpaff
▴ 10
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…
Comment: Join BOC Sciences at Drug Discovery Chemistry
by
teamardigen
• 0
Sounds like an exciting event for anyone passionate about small molecule innovation. The focus on discovery and optimization really drives …
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Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Join BOC Sciences at Drug Discovery Chemistry
Drug datasets for RNA-seq
Comment: Check removeBatchEffect effectiveness
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