Bioconductor Rmarkdown

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rmarkdown suppressWarning warning

updated 21 months ago by Mike Smith ★ 6.6k • written 3.0 years ago by Wolfgang Huber ★ 13k

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ReportingTools RNA-Seq RMarkdown

updated 4.2 years ago by James W. MacDonald 67k • written 4.2 years ago by anthony.nash ▴ 20

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BiocWorkflowTools rmarkdown

4.5 years ago helucro ▴ 70

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BrowseSeqs DECIPHER notebook rmarkdown

updated 5.2 years ago by Erik Wright ▴ 150 • written 5.2 years ago by lauren.fitch • 0

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rmarkdown knitr

updated 5.8 years ago by Aaron Lun ★ 28k • written 5.8 years ago by Keith Hughitt ▴ 180

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package development bioconductor rstudio rmarkdown vignettes

7.0 years ago clarisbaby • 0

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BiocStyle vignettes rmarkdown latex News

7.3 years ago Andrzej Oleś ▴ 750

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biocstyle Rmarkdown Tutorial

7.3 years ago Wolfgang Huber ★ 13k

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BiocWorkflowTools rmarkdown

updated 7.4 years ago by Andrzej Oleś ▴ 750 • written 7.4 years ago by Leonardo Collado Torres ★ 1.1k

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rmarkdown rstudio knitr

8.1 years ago Jon Bråte ▴ 260

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rmarkdown package updates

updated 8.2 years ago by James W. MacDonald 67k • written 8.2 years ago by tarek.mohamed ▴ 10

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Comment: Differene between the Wald and LRT test for time-series gene expression data by Denise • 0

This makes a lot of sense, thank you very much!

Comment: Downloading Metagenomic Data with Higher Taxonomic Units by elozanoe • 0

Hi! I'm facing the same problem. Is there any easy way to output relative abundances of higher taxonomic units (up to kingdom), similar to…

Comment: Is it recommended to analyze different tissues together when using edgeR by Gordon Smyth 51k

Just plot the samples with plotMDS(). Alternatively you would use `voomLmFit()` with `sample.weights=TRUE` or `var.group=tissue`. In princ…

Comment: Handling Epic Array Data by Melisa Tecik • 0

Thanks a lot for the help. You saved my day

Answer: Differene between the Wald and LRT test for time-series gene expression data by James W. MacDonald 67k

The advantage to using the LRT is that it's an omnibus test that tells you if there are changes at any time point. If you have lots of time…

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A: correcting the batch effects in Limma and SVA

A: Using of limma moderated t-test with "corrected" expression matrix resulting fr

Answer: Differene between the Wald and LRT test for time-series gene expression data

Answer: Using voom-transformed counts for unsupervised analyses (PCA, Random Forest, Ela

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