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BioC2023
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Reminder: BioC2023 in-person registration closes 19th July!
Bioconductor
BioC2023
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2.3 years ago
Maria Doyle
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May 31st is the last day to nominate for Bioc2023 Awards!
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Bioconductor
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BioC2023
2.4 years ago
Maria Doyle
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2.5 years ago • updated 2.4 years ago
shepherl
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2.5 years ago • updated 2.4 years ago
shepherl
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shepherl
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News:
BioC2023 abstract submission is now open!
presentation
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updated 14 months ago by
Ramon
• 0 • written 2.7 years ago by
Maria Doyle
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Seeking members for BioC2023 organizing committee
BioC2023
Bioconductor
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2.8 years ago • updated 2.7 years ago
Maria Doyle
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Save the Date Bioc2023!
Bioc2023
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Bioconductor
3.0 years ago • updated 2.9 years ago
shepherl
4.2k
11 results • Page
1 of 1
Recent ...
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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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