Bioconductor Boxplot

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2.7k

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t.test boxplot limma anova

10 months ago Chris ▴ 20

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802

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boxplot ggplot2

updated 2.1 years ago by ATpoint ★ 4.7k • written 2.1 years ago by Sooni ▴ 10

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1.1k

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knitr boxplot

updated 5.1 years ago by James W. MacDonald 68k • written 5.1 years ago by poojitha.stemcell ▴ 10

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boxplot bioconductor R error

5.2 years ago l154359 • 0

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1.9k

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boxplot reads fastq sequencing rsubread

updated 5.7 years ago by Wei Shi ★ 3.6k • written 5.8 years ago by Raito92 ▴ 60

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893

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affy boxplot

5.9 years ago pratikshasharma47 • 0

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861

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boxplot affymetrix data diferential expression

5.9 years ago pratikshasharma47 • 0

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860

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boxplot software error

updated 5.9 years ago by Gordon Smyth 52k • written 5.9 years ago by Raito92 ▴ 60

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5.6k

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VST deseq2 boxplot rnaseq

updated 6.8 years ago by Michael Love 43k • written 6.8 years ago by Konstantinos Yeles ▴ 80

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1.2k

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boxplot

updated 8.0 years ago by Peter Langfelder ★ 3.0k • written 8.0 years ago by farahqureshi5 • 0

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5.0k

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affy package boxplot hgu133plus2 oligo package

updated 8.0 years ago by James W. MacDonald 68k • written 8.0 years ago by Javier Pérez Florido ▴ 840

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edgeR boxplot

8.1 years ago snowru • 0

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2.5k

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gviz boxplot

updated 8.8 years ago by florian.hahne@novartis.com ★ 1.6k • written 8.9 years ago by enricoferrero ▴ 680

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boxplot microarray pd.hugene.2.0.st

9.9 years ago kanacska ▴ 10

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1.3k

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Rle boxplot

10.1 years ago Johannes Rainer ★ 2.1k

15 results • Page 1 of 1

Recent ...

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Comment: how many significant figures are there in DESeq2 output by ATpoint ★ 4.7k

If you want consistency then use a fixed software environment like Docker, wirh fixed code and thresholds that make sense. Rounding to near…

Comment: Compare TCGA-PAAD with GTEx gene expression by Jane • 0

why aren't there any answers?

Comment: Too many significant genes when integrating gtex and tcga by Jane • 0

I encountered the same issue: too many DEGs after limma analysis. It is sad that until today we can still see the paper published where GTE…

Comment: how many significant figures are there in DESeq2 output by Matthew McCormack ▴ 180

Thank you for your reply. It is good to know that cutoff of 0.05 means less than 0.05. My concerns are about consistency and reproducibili…

Comment: DiffBind edgeR normalization --- why are the normalization factors all equal to by ATpoint ★ 4.7k

No, normalization factors from edgeR rather than size factors from DESeq2 are not proportional, it's a different concept and implementation…

Votes

A: Unbalanced experiment with multiple samples from each patient.

Unbalanced experiment with multiple samples from each patient.

Answer: Vertical line at A=0, nothing else, on MA plot

Answer: GSVA Error Code "Calling gsva(expr=., gset.idx.list=., method=., ...) is defunct

Answer: Group-specific condition effects with individuals nested: matrix is not full ra

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