Bioconductor Minfidata

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DNA minfiData minfiDataEPIC DNAMethylation minfi

8 months ago user_bioinfo • 0

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724

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bumphunter minfiData minfi bumphun

updated 15 months ago by James W. MacDonald 68k • written 15 months ago by kumakeren16 • 0

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861

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minfiData minfi

updated 18 months ago by Basti ▴ 780 • written 18 months ago by clacarion • 0

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methylclockData minfi methylclock minfidata

updated 20 months ago by James W. MacDonald 68k • written 20 months ago by sharangiiv • 0

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RnBeads minfiData minfi EPICarray

updated 2.4 years ago by Basti ▴ 780 • written 2.4 years ago by Jitendra ▴ 10

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methylationArrayAnalysis minfiData minfi MethylationArrayData MethylationArray

updated 2.6 years ago by James W. MacDonald 68k • written 2.6 years ago by Grace • 0

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methylationArrayAnalysis minfiData minfi MethylationArrayData MethylationArray

written 2.6 years ago by Grace • 0

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minfiData ChAMP

3.8 years ago behr201 • 0

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minfi minfiData MethylationArrayData

4.2 years ago ponche_de_kiwi • 0

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minfiData plotsex minfi minfiDataEPIC r

updated 4.7 years ago by suman • 0 • written 4.7 years ago by Bethan • 0

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minfi methylation dataimport minfidata missmethyl

updated 7.1 years ago by James W. MacDonald 68k • written 7.1 years ago by moldach ▴ 20

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minfi minfidata rgl. mac os x el capitan

updated 9.5 years ago by Kasper Daniel Hansen ★ 6.5k • written 9.5 years ago by holbrookjoanna • 0

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minfidata minfi illuminahumanmethylation450k.db illuminahumanmethylation450kanno.ilmn12.hg19

10.5 years ago alejandretheodore • 0

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minfi minfidata illumina methylation dmpfinder

updated 11.1 years ago by James W. MacDonald 68k • written 11.1 years ago by michael.zulyniak • 0

14 results • Page 1 of 1

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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 …

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…

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DESeq2 for candidate gene analysis

Join BOC Sciences at Drug Discovery Chemistry

Drug datasets for RNA-seq

Comment: Check removeBatchEffect effectiveness

Comment: Streamlining the computing time for MiloDE p-value correction in large dataset?

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