Bioconductor MinfiDataEPIC

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minfiDataEPIC arrays limma minfi Epigenetics

updated 3.5 years ago by Gordon Smyth 50k • written 3.5 years ago by Jeff ▴ 20

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minfiData plotsex minfi minfiDataEPIC r

updated 3.2 years ago by suman • 0 • written 3.2 years ago by Bethan • 0

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minfiDataEPIC EpicV2

updated 7 months ago by Zuguang Gu ▴ 260 • written 8 months ago by Izabela.ams • 0

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minfiDataEPIC minfi

updated 8 months ago by James W. MacDonald 65k • written 8 months ago by phelankj • 0

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Annotation annotate DifferentialMethylation minfiDataEPIC

updated 7 months ago by Basti ▴ 780 • written 7 months ago by titangerd • 0

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minfiDataEPIC methylationArrayAnalysis

updated 9 months ago by ATpoint ★ 4.1k • written 9 months ago by rae.alshammari ▴ 10

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Quantile noob Normalization minfi minfiDataEPIC

updated 20 months ago by James W. MacDonald 65k • written 20 months ago by mikat • 0

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methylationArrayAnalysis minfi MethylationArrayData minfiDataEPIC MethylationArray

updated 13 months ago by Gordon Smyth 50k • written 13 months ago by Grace • 0

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minfi minfiDataEPIC

updated 2 days ago by James W. MacDonald 65k • written 3 days ago by e1271094 • 0

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335

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minfiDataEPIC minfi

updated 5 months ago by Basti ▴ 780 • written 5 months ago by Ana • 0

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minfi minfiDataEPIC

9 weeks ago Felix • 0

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minfiDataEPIC #SexPrediction minfi

updated 2.6 years ago by Basti ▴ 780 • written 2.6 years ago by nucasa • 0

12 results • Page 1 of 1

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Comment: How to use spike-in information (sequences from another species) with DESeq2::DE by maria.soler • 0

Hi, I have a question barely related to this topic. Do you use a custom reference genome combining your organism and the one used as a spik…

Answer: Differential gene expression analysis results by ATpoint ★ 4.1k

Pease do not open multiple posts for the same issue: https://support.bioconductor.org/p/9158194/#9158222 The support site is not meant f…

Comment: deseq2 results by sajadahmad41454 • 0

thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.

Comment: deseq2 results by swbarnes2 ★ 1.4k

It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…

Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie by Dylan.Sheerin • 0

Thank you very much, Gordon. I'll give voomLmFit a go!

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Comment: deseq2 results

Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie

Answer: Extremely small p-values using Limma for proteomic data

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