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sce SingleCellExperiment merge

updated 2.0 years ago by mollyab12 • 0 • written 2.9 years ago by achoppe ▴ 10

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2.5k

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merge

updated 3.2 years ago by mcmurdie ▴ 20 • written 9.4 years ago by jpleonard2000 ▴ 10

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2.0k

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merge files R packages gene annotations

5.5 years ago mohammedtoufiq91 ▴ 10

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1.3k

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s4 dataframe left_join merge

updated 5.9 years ago by Hervé Pagès 16k • written 5.9 years ago by Michael Steinbaugh ▴ 90

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1.9k

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WGCNA cbind merge match gene names and Eigengene/module/colorlabels

7.2 years ago yifangt ▴ 20

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1.3k

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merge merge data frames

updated 7.7 years ago by Haiying.Kong ▴ 110 • written 7.7 years ago by shadhiksk • 0

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2.3k

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merge rnaseq files

updated 8.4 years ago by jayme.rickman • 0 • written 8.4 years ago by BioinfGuru ▴ 70

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3.7k

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granges merge reduce

updated 8.7 years ago by Michael Lawrence ★ 11k • written 8.7 years ago by nhejazi • 0

8 results • Page 1 of 1

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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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