Bioconductor RNASeqSampleSize

Showing : RNASeqSampleSize • reset

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RNASeq DifferentialExpression RnaSeqSampleSizeData RnaSeqSampleSize

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

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240

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RnaSeqSampleSize

updated 3 months ago by ATpoint ★ 4.1k • written 3 months ago by Anudev • 0

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336

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RNASeqData RnaSeqSampleSize DESeq2

updated 4 months ago by James W. MacDonald 65k • written 4 months ago by Mimi • 0

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439

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RNASeqData RnaSeqSampleSize RNASeq RNASeqPower

5 months ago drewhaydensteele • 0

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266

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RnaSeqSampleSize

updated 5 months ago by Basti ▴ 780 • written 5 months ago by Durga ▴ 10

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405

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RNASeqData RnaSeqSampleSize RNASeqPower RNASeq

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

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402

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SSPA ssizeRNA RnaSeqSampleSize

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

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Answer: Once again a "Model matrix not full rank" by swbarnes2 ★ 1.3k

Replicate numbers, like the 1 in control_1 are fine in sample names, but never add them to anything else in colData. From the computer's p…

Answer: limma Intercept vs No-intercept models completely changing DMR results? by Gordon Smyth 50k

I'll add a little bit of general advice to James' answer. You seem to have the misunderstanding that you can change the design matrix but …

Answer: package goseq seems to be not available on the latest version of R by Gordon Smyth 50k

It is true that goseq isn't available for Bioc 3.19. That is because goseq depends on txbmaker, which is itself not yet available for Bioc…

Answer: limma Intercept vs No-intercept models completely changing DMR results? by James W. MacDonald 65k

This part: ``` design_intercept <- model.matrix(~Alt+Sex+Age+PC1, data=targets_Sherpa) colnames(design_intercept) <- c("AltSHP_LA","Al…

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

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

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Answer: limma Intercept vs No-intercept models completely changing DMR results?

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

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