Bioconductor ENTREZ

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5.6k

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microarray limma kegg ENTREZ enrichment analysis

updated 4.8 years ago by Gordon Smyth 52k • written 4.8 years ago by omarrafiqued ▴ 50

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2.6k

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annotation entrez gene ids software error

updated 5.7 years ago by Gordon Smyth 52k • written 5.7 years ago by Raito92 ▴ 60

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1.9k

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ensembl entrez biomart org.hs.eg.db

updated 6.0 years ago by James W. MacDonald 67k • written 6.0 years ago by bettina.budeus • 0

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2.2k

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gage annotationdbi entrez ensembl

6.8 years ago colaneri ▴ 30

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2.0k

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conversion symbol entrez

updated 9.2 years ago by James W. MacDonald 67k • written 9.2 years ago by dalloliogm ▴ 50

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Answer: Limma - using both array and spot weights in lmFit by Gordon Smyth 52k

Was answered here: https://support.bioconductor.org/p/17028/

Comment: Easiest way to convert read10xMolInfo data into a dataframe in R with gene label by daldabrown9 • 0

For more info visit us on [R350 status check][1] [1]: https://sassagrantstatuscheck.co.za/

Answer: Margins for gene_set_enrichment_plot by Leonardo Collado Torres ★ 1.1k

Hi, In version 1.19.4 of `spatialLIBD` @lahuuki re-implemented the `gene_set_enrichment_plot()` function using `ComplexHeatmap::Heatmap(…

Comment: miRTarRnaseq library by mercedeh.movassagh ▴ 20

Maria please read the mirTarRnaSeq paper. In particular, Supplemental Table 2, clarifies all the statistical models, inputs and outputs. If…

Comment: Help using rtracklayer for gene ID extraction by James W. MacDonald 67k

Telling me you can't do something without showing what you tried is not helpful. When posting here, try to put yourself in the shoes of peo…

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Answer: Fold change calculation in Diffbind vs. DESEQ2?

Fold change calculation in Diffbind vs. DESEQ2?

FeatureCounts Output Counts at Exon Level Using Default Settings, want gene level

Answer: FeatureCounts Output Counts at Exon Level Using Default Settings, want gene leve

Whether to build DESeq2 model with all data and then contrast groups or subset groups first, build model and then contrast?

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