Bioconductor MultipleComparison

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675

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limmaGUI lim MultipleComparison multip

updated 20 months ago by Gordon Smyth 53k • written 20 months ago by roger.moreno.justicia • 0

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1.1k

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Linnorm DEG MultipleComparison

updated 2.0 years ago by shunyip • 0 • written 4.2 years ago by awakumaya • 0

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1.5k

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Proteomics proDA MultipleComparison

2.1 years ago t.b.n.nguyen-9 • 0

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1.6k

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MultipleComparison DESeq2 Genetics contrasts RNASeq

updated 2.3 years ago by James W. MacDonald 68k • written 2.3 years ago by a26fd14e • 0

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1.1k

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DESeq2 MultipleComparison r

updated 2.9 years ago by Michael Love 43k • written 2.9 years ago by ncorak • 0

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810

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MultipleComparison DESeq2

updated 3.4 years ago by Michael Love 43k • written 3.4 years ago by Joshua • 0

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3.2k

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MultipleComparison edgeR DESeq2

written 3.6 years ago by yuet • 0

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1.1k

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factor DESeq2 MultipleComparison

updated 3.9 years ago by swbarnes2 ★ 1.4k • written 3.9 years ago by diegocastano182 • 0

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1.4k

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GeneExpression R limma MultipleComparison

updated 4.9 years ago by James W. MacDonald 68k • written 4.9 years ago by Gwénolé • 0

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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…

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 …

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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