Showing : illimina 450k methylation • reset
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Merge column to SummarizedExperiment from other dataframe
summarizedexperiment rangedsummarizedexperiment illimina 450k methylation
5.6 years ago s.w.vanderlaan ▴ 30
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5
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2.1k
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DNA methylation analysis without raw data IDAT files
r illimina 450k methylation minfi champ tcga
updated 5.7 years ago by ▴ 280 • written 5.7 years ago by ▴ 60
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1.4k
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Error in Rnbeads:Error in logger.error(em) : Could not create file. cannot popen '/usr/bin/which 'gs' 2>/dev/null', probable reason 'Cannot alloca…
R bioconductor rnbeads microarray illimina 450k methylation
6.5 years ago preethibagopi28 ▴ 10
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1
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Beta Value Analysis - DNA Methylation Dataset
dna methylation illimina 450k methylation beta M significance
updated 6.6 years ago by 65k • written 6.6 years ago by • 0
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1.2k
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Error when using Champ.SVD() function
champ champs.svd() 450K illimina 450k methylation champ 2.8.9
6.6 years ago david.ch • 0
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1.3k
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how to use Methylumi background correction (noob) in CHAMP
Methylumi NOOB CHAMP Background corection illimina 450k methylation
7.1 years ago rahel14350 ▴ 10
7
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18
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3.0k
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Generation of QSEA TCGA 450K Human Methylation Calibration Dataset
illimina 450k methylation qsea MEDIPS TCGA
updated 4 months ago by ▴ 240 • written 7.1 years ago by ▴ 20
0
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1
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998
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effective tools, methylation data
illimina 450k methylation bioconductor
updated 7.3 years ago by 65k • written 7.3 years ago by • 0
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1
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1.7k
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Epigenetic clock (Horvath): package?
methylation illimina 450k methylation epigenetics minfi
updated 7.2 years ago by ▴ 60 • written 7.3 years ago by ▴ 120
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0
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908
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Problem annotating with COHCAP 1.16.0 in MacOsX
illimina 450k methylation RNA-seq COHCAP
7.4 years ago IOM ▴ 20
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0
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802
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Replicates need for methylation analysis using minfi
minfi methylation illimina 450k methylation
7.6 years ago arisarkar88 ▴ 40
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1.8k
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Discrepanices between minifi dmp finder and lmfit
illimina 450k methylation minfi limma
7.8 years ago Andreas Paul • 0
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2
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980
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Common probes between 27K and 450 chip
illimina 450k methylation
7.8 years ago Adrian Johnson ▴ 330
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2
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Further analysis of methylation microarrays data (Illumina - idat) after reading by illuminaio package
limma lumi illuminaio illimina 450k methylation microarray
8.1 years ago Adam • 0
0
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4
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1.6k
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minfi sample limit
minfi illumina illimina 450k methylation methylation
updated 8.1 years ago by ★ 6.5k • written 8.1 years ago by ▴ 40
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2
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1.9k
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RnBeads - error with 'rnb.run.differential' module
RnBeads illimina 450k methylation
8.5 years ago Brian Smith ▴ 120
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13
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2.2k
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MethylAid package visualize function not opening a web browser
illimina 450k methylation methyanalysis methylaid
8.6 years ago jdangelo • 0
2
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2
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2.5k
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Illumina 450k Annotation Definitions/Articles: How was "Enhancer" status determined?
probe annotation illimina 450k methylation minfi methylation
8.8 years ago metamaden ▴ 10
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3
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3.1k
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DMRcate: incorporating covariates to find DMRs in methylation data?
limma illimina 450k methylation DMRcate
updated 9.1 years ago by ▴ 180 • written 9.1 years ago by ▴ 120
19 results • Page 1 of 1
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Comment: Why does GSEA on edgeR results for randomized samples give highly significant p- by Chris • 0
Intent to delete when going home. Sorry for that!
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p- by Gordon Smyth 50k
Please ask you own question. Inserting your own dataset into someone else's question like this is very impolite. I have already answered m…
Comment: package goseq seems to be not available on the latest version of R by Gordon Smyth 50k
limma most certainly is available. It installs in R 4.4.0 and Bioc 3.19 for all platforms without any issues. It has not had any period of …
Comment: package goseq seems to be not available on the latest version of R by Patrycja ▴ 20
limma package also isn't available.Is there any information when these packages will be available?
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p- by Chris • 0
Thanks Gordon for the advice!
Votes
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
Handling multiple differential expression comparisons
Answer: fgsea significant result
Answer: fgsea significant result
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