Bioconductor Metagene

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metagene metagene2

2.0 years ago sfpacman • 0

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Bioconductor metagene GenomicAlignments

updated 2.4 years ago by lxl13260684135 • 0 • written 2.8 years ago by barrypraveen • 0

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DESeq metagene2 metagene

updated 3.7 years ago by ericfournier2 ▴ 10 • written 3.7 years ago by GM ▴ 10

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metagene metagene$new

updated 7.0 years ago by Charles Joly Beauparlant ▴ 170 • written 7.0 years ago by Wojeff • 0

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metagene R ggplot2

updated 7.8 years ago by Charles Joly Beauparlant ▴ 170 • written 7.8 years ago by JunLVI ▴ 40

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metagene

updated 12 months ago by xlal • 0 • written 8.1 years ago by anton.kratz ▴ 60

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metagene

updated 8.1 years ago by Charles Joly Beauparlant ▴ 170 • written 8.1 years ago by anton.kratz ▴ 60

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1.2k

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metagene

updated 8.1 years ago by Charles Joly Beauparlant ▴ 170 • written 8.1 years ago by anton.kratz ▴ 60

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1.8k

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metagene

8.4 years ago arinaldi ▴ 10

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Comment: [How to construct a model.matrix ] by kyj2226 • 0

Thanks to you, I learn a lot. Many thanks, Yujin.

Comment: How to extract phastcons score for all protein coding genes and lncRNAs using Ge by rania.alanany • 0

thank you for your advice, I posted separate post.

Comment: How to extract phastcons score for all protein coding genes and lncRNAs using Ge by Robert Castelo ★ 3.4k

Hi, this is a long comment thread on 4-year old post, please open a new post with you question. To increase the odds of getting useful answ…

Answer: DESeq2 rerun returns different results by ATpoint ★ 4.5k

DESeq2 is deterministic if you use same input, code and software versions. Make sure to version-control your environment by at least tracki…

Answer: [How to construct a model.matrix ] by Gordon Smyth 51k

> Initially, I simply used > `lm(Epigenetic_age ~ Age_group + Age + Sex + PC1 + PC2 + PC3 + PC4 + PC5 + B + CD4T + CD8T + Mono + NK + Neutr…

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Answer: [How to construct a model.matrix ]

C: DESeq2 baseMean values for each sample

Comment: ColData and ERROR: rows did not converge in beta, labelled in mcols(object)$beta

A: Some questions for remove batch effect by using mnnCorrect

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