Bioconductor Methylation

Showing : Methylation • reset

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1.4k

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DMR Methylation R Gviz

updated 5 months ago by Robert Ivanek ▴ 730 • written 3.0 years ago by ltzhou • 0

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542

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edgeR methylation

updated 3 months ago by Gordon Smyth 50k • written 3 months ago by sat • 0

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242

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EPICV1 Methylation combineArrays minifi EPICv2manifest

4 weeks ago • updated 23 minutes ago Kim • 0

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255

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Methylation minfi preprocessQuantile MethylationArrayData preprocessFunnorm

4 months ago kyj2226 • 0

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1.4k

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minfi software error methylation illumina450k

updated 11 months ago by kuzn.di • 0 • written 8.4 years ago by pm2015 • 0

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157

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bsseq methylation

updated 4 weeks ago by James W. MacDonald 65k • written 4 weeks ago by ja569116 • 0

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2.0k

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ChAMP methylation BMIQ

updated 5 months ago by peter.brederlo • 0 • written 5.0 years ago by moldach ▴ 20

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1.8k

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ChAMP champ methylation

updated 8 months ago by mike • 0 • written 4.1 years ago by jkong • 0

8 results • Page 1 of 1

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Comment: CombineArrays for EPIC and EPIC V2 by Kim • 0

Thank you Tim, this is a great help in getting me started!

Comment: Too many significant genes when integrating gtex and tcga by Michael Love 41k

Yes, this was one of the aspects we highlighted in the 2014 paper, and it's also in the workflow. Check these places first. Also take a st…

Answer: Too many significant genes when integrating gtex and tcga by James W. MacDonald 65k

See `?results`, in particular the lfcThreshold argument.

Comment: Once again a "Model matrix not full rank" by James W. MacDonald 65k

You already ran a temporal assay. Now you can compare each time point to the baseline. The interaction term is only applicable if you have…

Comment: Timecourse RNASeq analysis by Aurora • 0

I managed to run ImpulseDE2 as I am interested in getting significant gene changes over time. Now I would like to run deseq as well and com…

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Answer: CombineArrays for EPIC and EPIC V2

Answer: Too many significant genes when integrating gtex and tcga

Comment: Too many significant genes when integrating gtex and tcga

A: Print Differentially Expressed Exons From Dexseq Results

stuck on unimplemented type 'list' in 'EncodeElement'

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