Bioconductor Rmarkdown

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rmarkdown rstudio knitr

8.2 years ago Jon Bråte ▴ 260

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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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package development bioconductor rstudio rmarkdown vignettes

7.1 years ago clarisbaby • 0

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BiocWorkflowTools rmarkdown

updated 7.5 years ago by Andrzej Oleś ▴ 750 • written 7.5 years ago by Leonardo Collado Torres ★ 1.1k

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BiocStyle vignettes rmarkdown latex News

7.3 years ago Andrzej Oleś ▴ 750

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rmarkdown package updates

updated 8.3 years ago by James W. MacDonald 67k • written 8.3 years ago by tarek.mohamed ▴ 10

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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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BrowseSeqs DECIPHER notebook rmarkdown

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ReportingTools RNA-Seq RMarkdown

updated 4.2 years ago by James W. MacDonald 67k • written 4.3 years ago by anthony.nash ▴ 20

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biocstyle Rmarkdown Tutorial

7.4 years ago Wolfgang Huber ★ 13k

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BiocWorkflowTools rmarkdown

4.5 years ago helucro ▴ 70

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Comment: Differential Expression Genes as Independent Variables by James W. MacDonald 67k

An alternative to that is to use the `glmnet` package to fit a regularized regression using all proteins at once.

Comment: Differential Expression Genes as Independent Variables by abadgerw • 0

Thanks. The proposal was not to include all proteins as covariates in one model but to iterate with one protein serving as the independent …

Answer: How to annotate a limma Elist raw class object with an annotation file by James W. MacDonald 67k

Your first step when trying to use a function is to read the help page (`?mapIds`), which will bring this up: ``` Usage: colu…

Comment: scuttle::perFeatureQCMetrics runs very slow for big scRNA-seq data by Adam ▴ 10

Hi Aaron, You are right. I checked the structure and it is "TENxMatrix" (HDF5-based sparse matrix ). I tried to convert it to SparseArray,…

Comment: pathview - multiple states by Philippine • 0

:D Thank you!!! It works perfectly.

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scuttle::perFeatureQCMetrics runs very slow for big scRNA-seq data

Comment: pathview - multiple states

Answer: Crossover design with limma

Answer: Different PCA results when using rlog and vst transformations

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