Bioconductor Kegga

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limma goana kegga

updated 6.1 years ago by Gordon Smyth 53k • written 6.1 years ago by Ahdee ▴ 60

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kegga limma pathway analysis kegg

updated 6.5 years ago by Gordon Smyth 53k • written 6.5 years ago by Raito92 ▴ 60

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edgeR kegga KEGG

updated 7.2 years ago by James W. MacDonald 68k • written 7.2 years ago by bernsmq • 0

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limma kegga orgdb

updated 7.7 years ago by Gordon Smyth 53k • written 7.7 years ago by baus87 • 0

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edger goana kegga

updated 7.7 years ago by Gordon Smyth 53k • written 7.7 years ago by jfreixas • 0

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topgo edger limma kegga kegg

updated 8.1 years ago by Gordon Smyth 53k • written 8.1 years ago by mictadlo ▴ 10

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1.9k

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limma missMethyl gometh goana kegga

updated 8.3 years ago by Gordon Smyth 53k • written 8.4 years ago by Jenny Drnevich ★ 2.0k

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edger kegga

updated 8.3 years ago by Gordon Smyth 53k • written 8.3 years ago by cronanz • 0

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kegga

updated 8.9 years ago by Gordon Smyth 53k • written 8.9 years ago by mat149 ▴ 80

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limma kegga

updated 9.0 years ago by Gordon Smyth 53k • written 9.0 years ago by miyakokodama • 0

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edgeR limma annotationhub kegga annotationdbi

updated 9.3 years ago by cagenet34 ▴ 20 • written 9.6 years ago by Rinaldo Bertossa ▴ 20

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edger kegga keggrest

9.8 years ago Likai Mao ▴ 40

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5.8k

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limma kegga goanna

updated 9.8 years ago by Gordon Smyth 53k • written 9.8 years ago by Guido Hooiveld ★ 4.1k

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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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