Bioconductor Genes

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910

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DESeq2 genes Differential expressed

2.7 years ago Syed Zaheer ▴ 10

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1.8k

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GeneSetEnrichment genes genetogo

updated 3.6 years ago by Basti ▴ 780 • written 3.6 years ago by Noy • 0

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1.0k

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R microRNA genes binding Site

6.5 years ago pengu447 • 0

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2.0k

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edger differential expression genes fold change

updated 6.6 years ago by Aaron Lun ★ 29k • written 6.6 years ago by ilovesuperheroes1993 • 0

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1.2k

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deseq2 genes expression

updated 6.8 years ago by Michael Love 43k • written 6.8 years ago by UserAnonyme • 0

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1.6k

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topGO significant enrichment genes IDs

7.0 years ago David ROUX ▴ 20

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1.4k

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deseq2 variance genes

updated 8.2 years ago by Michael Love 43k • written 8.2 years ago by hs.lansdell ▴ 20

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1.5k

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cnv genes genomic ranges splitByOverlap

updated 8.8 years ago by Martin Morgan 25k • written 8.8 years ago by julrodr80 ▴ 30

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963

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deseq2 genes

updated 9.5 years ago by Michael Love 43k • written 9.5 years ago by silviajserrano • 0

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3.2k

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deseq2 wald lrt genes significance

updated 9.6 years ago by Michael Love 43k • written 9.6 years ago by aziza ▴ 20

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3.0k

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heatmap rownames genes

10.3 years ago johnlee.johnson • 0

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1.9k

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datasets genes gene expression

updated 10.4 years ago by Steve Lianoglou ★ 13k • written 10.4 years ago by vavecilla • 0

12 results • Page 1 of 1

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Comment: Are individual-mouse-based statistics possible in CellChat? by TikTsossakaas33ocissalpc • 0

Questions about comparing groups and statistical significance highlight how data driven thinking matters across fields. In online mobile ga…

Comment: DESeq2 - how many surrogate variables from svaseq, use of lfcshrink by ja569116 • 0

Hi @atpoint Thanks for the information. Could you please expand on when to use adjusted p-values vs nominal p-values. My understanding was …

Answer: limpa analysis advice by Gordon Smyth 53k

It is actually very hard to estimate the DPC from observed data, because the curve is function of unobserved intensities rather than a func…

Answer: When to use edgeR or limma by Gordon Smyth 53k

The short answer is that we generally prefer edgeR for applications with lots of small counts and limma for complex designs with random eff…

Comment: limpa-blank normalization and Spectronaut's PTM stoichiometry by Gordon Smyth 53k

I updated the above answer today.

Votes

Answer: When to use edgeR or limma

A: deseq2 - paired samples in 2 sequencing types with very different library sizes

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Popular Question to Lluís Revilla Sancho ▴ 760