Bioconductor Rrbs

Showing : rrbs • reset

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1.5k

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edgeR model-selection RRBS mixture-experiment

4.5 years ago ingerslev • 0

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1.3k

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MethylCC RRBS cord blood

5.3 years ago weichen-cls • 0

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1.1k

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Biseq Methylation DMP DMR RRBS

5.3 years ago i.s.castanho • 0

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954

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biseq betaRegression RRBS Methylation

5.6 years ago i.s.castanho • 0

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2.9k

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edgeR rrbs

updated 6.8 years ago by Gordon Smyth 53k • written 6.8 years ago by ingerslev • 0

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3.2k

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methykit rrbs

updated 7.4 years ago by Mike Smith ★ 6.6k • written 7.4 years ago by bekah ▴ 40

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2.0k

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edgeR methyation RRBS

updated 7.8 years ago by Gordon Smyth 53k • written 7.8 years ago by osa.zuta ▴ 40

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1.5k

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biseq RRBS betaregression

8.6 years ago l.eijssen • 0

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2.5k

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sva RRBS

updated 8.6 years ago by Jeff Leek ▴ 650 • written 8.6 years ago by mrodrigues.fernanda ▴ 10

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2.1k

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rrbs batch effect methylation sva

updated 9.1 years ago by dashbrook1 • 0 • written 10.3 years ago by GFM ▴ 20

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1.9k

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limma rrbs bsseq

updated 9.4 years ago by Aaron Lun ★ 29k • written 9.4 years ago by nhejazi • 0

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2.6k

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biseq RRBS SAAP-BS coverage

10.5 years ago maria.maqueda • 0

12 results • Page 1 of 1

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Answer: Issue with Soft-Thresholding in WGCNA by misty.chickadee.vckc • 0

Hi Maria, your detailed explanation is super helpful! The NA power estimate in WGCNA can be tricky. I've sometimes seen that when the data …

Comment: Interpretation of output of AffyRNAdeg and hist commands by debasainalsa • 0

When working with AffyRNAdeg output it helps to think of the table like browsing a HEYTEA Menu each row shows a feature of your slides and …

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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