pcaExplorer-pkg: pcaExplorer: analyzing time-lapse microscopy imaging, from...
In federicomarini/pcaExplorer: Interactive Visualization of RNA-seq Data Using a Principal Components Approach
pcaExplorer-pkg R Documentation
pcaExplorer: analyzing time-lapse microscopy imaging, from detection to tracking
Description
pcaExplorer provides functionality for interactive visualization of RNA-seq datasets
based on Principal Components Analysis. The methods provided allow for quick information
extraction and effective data exploration. A Shiny application encapsulates the whole analysis.
Details
pcaExplorer provides functionality for interactive visualization of RNA-seq datasets
based on Principal Components Analysis. The methods provided allow for quick information
extraction and effective data exploration. A Shiny application encapsulates the whole analysis.
Author(s)
Federico Marini marinif@uni-mainz.de, 2016
Maintainer: Federico Marini marinif@uni-mainz.de
See Also
Useful links:
federicomarini/pcaExplorer documentation built on May 3, 2024, 11:16 p.m.
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| pcaExplorer-pkg | R Documentation |
pcaExplorer: analyzing time-lapse microscopy imaging, from detection to tracking
Description
pcaExplorer provides functionality for interactive visualization of RNA-seq datasets based on Principal Components Analysis. The methods provided allow for quick information extraction and effective data exploration. A Shiny application encapsulates the whole analysis.
Details
pcaExplorer provides functionality for interactive visualization of RNA-seq datasets based on Principal Components Analysis. The methods provided allow for quick information extraction and effective data exploration. A Shiny application encapsulates the whole analysis.
Author(s)
Federico Marini marinif@uni-mainz.de, 2016
Maintainer: Federico Marini marinif@uni-mainz.de
See Also
Useful links:
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.
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