Bioconductor GseGO

Showing : gseGO • reset

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835

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clusterProfiler annotation gseGO gsea OrgDb

written 9 months ago by enee ▴ 10

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873

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clusterProfiler makeOrgPackage gseGO

updated 4 months ago by James W. MacDonald 67k • written 4 months ago by Nuria Mauri • 0

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1.5k

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gseGO GeneSet clusterProfiler GeneSetEnrichment

updated 18 months ago by James W. MacDonald 67k • written 18 months ago by manuelsokolov • 0

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5.1k

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gseGO setSize

updated 2.3 years ago by James W. MacDonald 67k • written 2.3 years ago by Adelyn ▴ 10

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5.1k

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ggplot2 clusterprofiler visualization gseGo

7.8 years ago • updated 4.2 years ago tcalvo ▴ 100

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1.2k

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software error go dose heatplot gseGo

6.0 years ago aboumarshal • 0

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1.6k

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clusterProfiler gseGO gene ontology go semantic similarity gene set enrichment analysis

6.6 years ago jan.soderman • 0

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2.5k

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clusterprofiler gseGO plotGOgraph() topGO

updated 7.9 years ago by Guangchuang Yu ★ 1.2k • written 7.9 years ago by cjsifuen • 0

8 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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