ideal-pkg: ideal: Interactive Differential Expression Analysis
In baj12/idealImmunoTP: Interactive Differential Expression AnaLysis
ideal-pkg R Documentation
ideal: Interactive Differential Expression Analysis
Description
ideal makes differential expression analysis interactive, easy and reproducible.
The analysis of RNA-seq datasets is guided by the Shiny app as main component of
the package, which also provides a wide set of functions to efficiently extract
information from the existing data. The app can be also deployed on a Shiny
server, to allow its usage without any installation on the user's side.
Details
ideal makes differential expression analysis interactive, easy and reproducible.
The analysis of RNA-seq datasets is guided by the Shiny app as main component of
the package, which also provides a wide set of functions to efficiently extract
information from the existing data. The app can be also deployed on a Shiny
server, to allow its usage without any installation on the user's side.
Author(s)
Federico Marini marinif@uni-mainz.de, 2016-2017
Maintainer: Federico Marini marinif@uni-mainz.de
baj12/idealImmunoTP documentation built on Dec. 5, 2023, 12:33 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| ideal-pkg | R Documentation |
ideal: Interactive Differential Expression Analysis
Description
ideal makes differential expression analysis interactive, easy and reproducible. The analysis of RNA-seq datasets is guided by the Shiny app as main component of the package, which also provides a wide set of functions to efficiently extract information from the existing data. The app can be also deployed on a Shiny server, to allow its usage without any installation on the user's side.
Details
ideal makes differential expression analysis interactive, easy and reproducible. The analysis of RNA-seq datasets is guided by the Shiny app as main component of the package, which also provides a wide set of functions to efficiently extract information from the existing data. The app can be also deployed on a Shiny server, to allow its usage without any installation on the user's side.
Author(s)
Federico Marini marinif@uni-mainz.de, 2016-2017
Maintainer: Federico Marini marinif@uni-mainz.de
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.