Bioconductor Sample size

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887

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deseq2 sample size

updated 5.4 years ago by Michael Love 41k • written 5.4 years ago by kel.chee86 • 0

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1.3k

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deseq2 nbinomLRT sample size biocparallel

updated 5.5 years ago by davide risso ▴ 950 • written 5.5 years ago by mcalgaro93 • 0

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2.1k

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limma sample size microarrays statistical power

6.1 years ago eleonoregravier ▴ 70

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1.6k

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atac-seq sample size Peak Normalize

6.3 years ago jaime.alvarez.benayas • 0

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4.7k

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deseq2 deseq sample size

6.6 years ago MrHodor • 0

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1.6k

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csaw differential binding analysis sample size independent filtering statistical power

updated 6.6 years ago by Aaron Lun ★ 28k • written 6.7 years ago by zhangly811 • 0

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1.8k

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edger pvalue sample size

updated 7.9 years ago by Aaron Lun ★ 28k • written 7.9 years ago by Venu Pullabhatla ▴ 40

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2.2k

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rnaseqpower sspa sample size sequencing complex-design

updated 8.2 years ago by m.van_iterson ▴ 20 • written 8.2 years ago by roser.navarro • 0

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14k

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WGCNA Sample Size Outliers

updated 8.7 years ago by mh.manoj • 0 • written 9.2 years ago by brohawndg ▴ 150

9 results • Page 1 of 1

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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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