Bioconductor Epic

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Epigenetics combat EPIC

2.1 years ago Jitendra ▴ 10

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1.4k

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methylumi minfi microarray epic

5.0 years ago • updated 4.5 years ago Nala • 0

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1.3k

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lumi EPIC Methylation

5.0 years ago Zach Roe ▴ 10

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1.3k

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SVA EPIC methylation limma

updated 5.1 years ago by James W. MacDonald 68k • written 5.1 years ago by whyw6948 • 0

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1.9k

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ChAMP EPIC Illumina Methylation

5.2 years ago erwin.tomasich ▴ 10

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1.1k

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ChAMP champ methylation EPIC

updated 5.3 years ago by Yuan Tian ▴ 90 • written 5.3 years ago by cherlyn.t • 0

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3.8k

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methylation epic champ champ.load() Methylation array

updated 5.3 years ago by Yuan Tian ▴ 290 • written 5.3 years ago by Ankit ▴ 20

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1.8k

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methylation Epic annotation DMRcate

updated 5.5 years ago by James W. MacDonald 68k • written 5.6 years ago by yoursbassanio ▴ 10

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2.2k

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methylation EPIC scale-free topology WGCNA

updated 2.3 years ago by shuo • 0 • written 5.7 years ago by enora.fremy • 0

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2.5k

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minfi 450k EPIC analysis

updated 5.7 years ago by James W. MacDonald 68k • written 5.7 years ago by maduran • 0

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1.5k

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450k EPIC minfi limma cell components

updated 5.8 years ago by Aaron Lun ★ 28k • written 5.8 years ago by antgomo • 0

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1.6k

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rnbeads EPIC

updated 5.9 years ago by mscherer ▴ 50 • written 5.9 years ago by Mark Dunning ★ 1.1k

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1.4k

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methylationEPIC minfi microarray epigenetics EPIC

6.1 years ago firestar ▴ 20

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1.0k

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microarray methylationEPIC epigenetics minfi EPIC

6.1 years ago firestar ▴ 20

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1.7k

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methylation epic champ

updated 6.4 years ago by Yuan Tian ▴ 290 • written 6.4 years ago by D ▴ 10

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2.6k

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ChAMP Normalization FunctionalNormalization methylation EPIC

6.6 years ago yuabrahamliu • 0

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2.2k

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limma epic methylation limma design matrix covariates

updated 6.6 years ago by Aaron Lun ★ 28k • written 6.6 years ago by c.bettencourt • 0

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1.2k

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missmethyl epic illuminahumanmethylationepicanno.ilm10b4.hg19. ruv

6.7 years ago peter.fransquet • 0

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1.9k

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minfi methylation epic

6.7 years ago jbar3141 • 0

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1.4k

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minfi methylation EPIC

6.8 years ago sichan • 0

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2.9k

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EPIC methylation ChAMP

updated 7.1 years ago by yura.grabovska ▴ 30 • written 7.1 years ago by david.ch • 0

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2.6k

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methylation illumina EPIC methylationepic idat

updated 8.0 years ago by Guido Hooiveld ★ 4.1k • written 8.0 years ago by Ellen O • 0

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1.9k

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dmrcate bumphunter methylation epic

updated 8.0 years ago by James W. MacDonald 68k • written 8.0 years ago by yoursbassanio ▴ 10

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2.5k

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minfi idat annotation EPIC

updated 8.1 years ago by xue.zhang • 0 • written 8.2 years ago by Frocha ▴ 20

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2.7k

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wateRmelon methylation EPIC normalization

8.3 years ago Wade Davis ▴ 60

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1.7k

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epigenetics EPIC 450K ChAMP News

8.6 years ago Yuan Tian ▴ 90

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2.4k

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champ methylation 450k SVD EPIC News

8.7 years ago Yuan Tian ▴ 90

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1.9k

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minfi illuminaio epic

8.8 years ago m.van_iterson ▴ 20

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1.5k

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epic minfi read.metharray software error

8.9 years ago mcastrod • 0

29 results • Page 1 of 1

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Comment: Differing results with DESeq2 by JKim • 0

My two cents. I think it would be more straightforward if you use cellmeans model. Have a look at [A guide to creating design matrices for …

Answer: CluserProfiler message "No gene can be mapped" by James W. MacDonald 68k

Your gene IDs are things like this: `Mpyr-NLJ1B.v3.hap1.scaffold1.g290550`, and the genes in your term2gene table are things like this: `Mp…

Answer: RNA-seq input to GRaNIE by James W. MacDonald 68k

This is [covered in the vignette.][1] [1]: https://bioconductor.org/packages/release/bioc/vignettes/GRaNIE/inst/doc/GRaNIE_packageDe…

Answer: Help using reduceSimMatrix with a custom annotation by sergisayolspuig ▴ 80

Hi there, `reduceSimMatrix()` expects a "GOALL" keytype in the OrgDb object when called with `children=TRUE` (which is the default for thi…

Answer: Analyzing TnSeq data with DESeq2 by cold.wolverine.arku • 0

That's a great use case of DESeq2! Even though it's not specifically tailored for TnSeq data, your approach to normalize and run explorator…

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A: Unbalanced experiment with multiple samples from each patient.

A: Understanding contrasts limma

Answer: ROAST for small sets

A: conceptual question about FDR, FDR adjusted p-value and q-value

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