Bioconductor RNASeqRData

Showing : RNASeqRData • reset

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microRNA gene RNASeqRData edgeR geneontology

2.4 years ago faiza • 0

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934

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find RNASeqRData

updated 2.4 years ago by ATpoint ★ 4.7k • written 2.4 years ago by yuhang • 0

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2.0k

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RNASeqRData TPM

updated 2.4 years ago by ATpoint ★ 4.7k • written 2.4 years ago by prashali.bansal ▴ 10

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629

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RNASeq RNASeqData RNASeqRData

2.5 years ago marymshahi2021 • 0

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816

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RNAseqRData DeSeq2

updated 2.9 years ago by Michael Love 43k • written 2.9 years ago by Hannah • 0

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4.2k

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RNASeqRData

updated 3.0 years ago by Michael Love 43k • written 3.0 years ago by beslinail • 0

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1.0k

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RNASeqRData edgeR RNASeqR RNASeqData

updated 3.0 years ago by Gordon Smyth 52k • written 3.0 years ago by vikycairoli • 0

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1.1k

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RNASeqRData combat_Seq BatchEffect

3.4 years ago • updated 3.1 years ago zeegzaag • 0

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1.1k

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RNASeqRData limma RNASeq RNASeqR

updated 3.9 years ago by Gordon Smyth 52k • written 3.9 years ago by Rita • 0

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3.3k

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RNASeqRData GO

4.0 years ago Wuschel ▴ 10

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955

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RNAinteract rnaseqGene RNASeqRData rnaseqcomp

4.1 years ago Bogdan ▴ 670

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1.4k

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Deseq2 RNASeqRData unbalancedsamplesize

updated 2.8 years ago by Michael Love 43k • written 4.1 years ago by Cihat • 0

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2.5k

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RiboProfiling DESeq2 Bioconductor RNASeqRData

updated 2.4 years ago by Kevin Blighe ★ 4.0k • written 4.1 years ago by Taufiq • 0

13 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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