Bioconductor EPICv2

Showing : EPICv2 • reset

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EPICv2 EPICv2manifest

7 months ago Joshua Llano • 0

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3.9k

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EpicV2 ChAMPdata

updated 11 months ago by icecreamlover • 0 • written 12 months ago by nurkenber • 0

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3.7k

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ChAMP EPICv2

updated 12 months ago by Ricky • 0 • written 2.3 years ago by medha.suman • 0

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432

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EpicV2 DMRcate

12 months ago kitzhu • 0

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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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2.3k

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sesameData EPICv2 EPICv1

updated 4 months ago by Mancy • 0 • written 16 months ago by archibold.mposhi • 0

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1.1k

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limma DMRcate MethylationArray EPICV2

updated 17 months ago by Gordon Smyth 53k • written 17 months ago by Kim • 0

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DNAMethylation GO MethylationArray missMethyl EPICv2

20 months ago • updated 13 months ago s.malik • 0

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2.3k

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DNAMethylation EPICv2 IlluminaHumanMethylationEPICmanifest

updated 20 months ago by James W. MacDonald 68k • written 20 months ago by rae.alshammari ▴ 20

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3.4k

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ChAMP EPICv2

updated 11 months ago by icecreamlover • 0 • written 21 months ago by ChunkyJones • 0

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2.2k

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sesame IlluminaHumanMethylationEPICv2anno.20a1.hg38 methylationEPICv2.0 EpicV2

updated 19 months ago by aldea85 • 0 • written 23 months ago by Courtney ▴ 10

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minfiDataEPIC EpicV2

updated 2.1 years ago by Zuguang Gu ▴ 290 • written 2.2 years ago by Izabela.ams ▴ 10

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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