Bioconductor EPICv2manifest

Showing : EPICv2manifest • reset

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426

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DMRcate EPICv2manifest

updated 5 months ago by James W. MacDonald 68k • written 5 months ago by Sasha • 0

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1.3k

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EPICv2 EPICv2manifest

7 months ago Joshua Llano • 0

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503

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conumee CopyNumberVariation MethylationAnalysis methylationArrayAnalysis EPICv2manifest

updated 7 months ago by James W. MacDonald 68k • written 7 months ago by luca.mangherini • 0

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329

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minf minfiDataEPIC MethylationArrayData MethylationArray EPICv2manifest

8 months ago charlie.wright • 0

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555

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missMethyl EPICv2manifest

updated 9 months ago by James W. MacDonald 68k • written 9 months ago by maximuscfyeung • 0

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543

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MethylationArray methy EPICv2manifest

11 months ago Meghan • 0

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747

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minfi EPICv2manifest

11 months ago Rakesh • 0

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476

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EPICv2manifest IlluminaHumanMethylationEPICv2anno.20a1.hg38

15 months ago MajaVu • 0

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678

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minfi EPICv2manifest MethylAid

16 months ago pcibin • 0

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2.3k

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sesame EPICv2manifest epicv2

updated 3 months ago by MargaretJDinan • 0 • written 16 months ago by luca.s ▴ 50

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2.9k

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EPICV1 Methylation combineArrays minifi EPICv2manifest

updated 12 months ago by rania.alanany • 0 • written 18 months ago by Kim • 0

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1.6k

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DNAMethylation AnnotationHub EPICv2manifest annotation

updated 18 months ago by Tim Peters ▴ 230 • written 19 months ago by s.malik • 0

12 results • Page 1 of 1

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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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