Bioconductor Epic microarray

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champ epic microarray normalization minfi

6.9 years ago Laura • 0

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minfi epic microarray bioconductor

updated 2.7 years ago by Lucy • 0 • written 7.0 years ago by c.sae-lee2 • 0

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2.3k

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bioconductor methylation epic microarray champ

7.2 years ago csappleby-mallinder1 • 0

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2.0k

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methylation epic microarray minfi methylationepic

8.1 years ago nhejazi • 0

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1.2k

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shinymethyl minfi epic microarray methylationepic qualitycontrol

8.1 years ago chelsey.ju • 0

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rnbeads methylation illumina epic microarray

8.6 years ago rasii • 0

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minfi dmpfinder dmp illuminahumanmethylationepicanno.ilmn10b.hg19 epic microarray

updated 8.7 years ago by James W. MacDonald 68k • written 8.7 years ago by Biologist ▴ 120

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1.9k

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minfi methylation EPIC microarray illumina

updated 8.9 years ago by Kasper Daniel Hansen ★ 6.5k • written 8.9 years ago by rasii • 0

8 results • Page 1 of 1

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Comment: CpGs with genomic positions greater than the chromosome size in EPICv2? by Joshua Llano • 0

Thank you for your reply James. I was worried that it was my mistake.

Comment: Annotation package for Manduca sexta by GA ▴ 10

Thank you!

Comment: Improving performance of edgeR and limma while adjusting for multiple confounder by ATpoint ★ 4.8k

If 2 minutes is inacceptable to you then you can still fall back to limma-trend which should give a dramatic speedup and finish in seconds.…

Comment: getBM from biomaRt inconsistencies found with .gtf files across multiple species by Mike Smith ★ 6.6k

Great, thanks for the update from Ensembl. So the most relevant part of 'Location: Scaffold HG1277_PATCH: 137,021-141,806 forward strand' …

Answer: Improving performance of edgeR and limma while adjusting for multiple confounder by Gordon Smyth 52k

We recommend that you use voomLmFit() instead of voom+lmFit. We are pretty proud of the speed of glmQLFit and voom, and we hadn't expected…

Votes

Answer: CpGs with genomic positions greater than the chromosome size in EPICv2?

Answer: Explannation for ROAST results

A: How DiffBind run PCA based on peak data?

Looking for equivalent EPIC chip v1 vs. v2 annotation variables

Properly constructing a hypergeometric test

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Supporter to bhanu.chandra1 • 0