Bioconductor Ercc

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16k

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RNAseq deseq2 ercc

updated 8.2 years ago by Simon Anders ★ 3.8k • written 8.2 years ago by mbeckste ▴ 30

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8.0k

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limma voom deseq normalization ercc

updated 9.2 years ago by Gordon Smyth 52k • written 9.2 years ago by komal.rathi ▴ 120

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5.7k

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edger ercc

10.1 years ago John ▴ 10

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3.4k

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ERCC rna-seq edgeR tmm normalised values

updated 7.9 years ago by Aaron Lun ★ 28k • written 7.9 years ago by what_theheck24 • 0

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3.1k

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seqc rsubread featurecounts subjunc ercc News

10.2 years ago Wei Shi ★ 3.6k

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1.0k

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ImpulseDE2 ImpulseDE ERCC RUVSeq

3.3 years ago • updated 3.2 years ago Mallory ▴ 10

6 results • Page 1 of 1

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Comment: Differential variability modelling with vst() expression by convincing.shark.jqvy • 0

Your approach to differential variability modeling using vst() looks promising! It mirrors the challenge of mastering levels in [Geometry D…

Answer: DESeq2 Heatmap by James W. MacDonald 67k

Two things. First, `scale` is already vectorized, so you don't have to use `apply`. You can instead just do `t(scale(t(mat)))` . Second, th…

Answer: Improve performance of qusage aggregateGeneSet by James W. MacDonald 67k

This support site is meant mostly to help people with questions about using Bioconductor packages rather than posting code improvements. I …

Answer: promoters_txdb <- promoters(txdb, upstream = 2000) is not 2000 by James W. MacDonald 67k

If you use `promoters` and do not provide an argument for something that has a default, you will get the default argument. Your last call t…

Comment: org.Hs.eg.db issue by k.panov • 0

installed R on another PC, works perfectly. ergo, problem outside of R probably..... :-(

Votes

Comment: DESeq2 for single cell pseudobulk processing

C: Limma: how to get same output as topTable but for all the genes ?

A: Processing agilent data by limma

A: Linear regression in DESeq2

Answer: Is there any chance to solve "the model matrix is not full rank" in DESeq2?

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