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updating roxygen version and pkg doc keyword

Federico Marini authored on 07/04/2024 10:30:06
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@@ -2,6 +2,7 @@
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 % Please edit documentation in R/pcaExplorer-pkg.R
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 \docType{package}
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 \name{pcaExplorer-pkg}
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+\alias{pcaExplorer-package}
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 \alias{pcaExplorer-pkg}
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 \title{pcaExplorer: analyzing time-lapse microscopy imaging, from detection to tracking}
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 \description{
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@@ -13,6 +14,15 @@ extraction and effective data exploration. A Shiny application encapsulates the
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 pcaExplorer provides functionality for interactive visualization of RNA-seq datasets
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 based on Principal Components Analysis. The methods provided allow for quick information
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 extraction and effective data exploration. A Shiny application encapsulates the whole analysis.
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+}
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+\seealso{
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+Useful links:
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+\itemize{
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+  \item \url{https://github.com/federicomarini/pcaExplorer}
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+  \item \url{https://federicomarini.github.io/pcaExplorer/}
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+  \item Report bugs at \url{https://github.com/federicomarini/pcaExplorer/issues}
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+}
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+
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 }
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 \author{
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 Federico Marini \email{[email protected]}, 2016
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updated to newer roxygen version

Federico Marini authored on 18/11/2019 13:17:27
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 \docType{package}
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 \name{pcaExplorer-pkg}
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 \alias{pcaExplorer-pkg}
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-\alias{pcaExplorer-pkg-package}
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 \title{pcaExplorer: analyzing time-lapse microscopy imaging, from detection to tracking}
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 \description{
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 pcaExplorer provides functionality for interactive visualization of RNA-seq datasets
Browse code

moved pkg doc to separate Rd file

Federico Marini authored on 26/09/2018 10:07:45
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new file mode 100644
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+% Generated by roxygen2: do not edit by hand
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+% Please edit documentation in R/pcaExplorer-pkg.R
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+\docType{package}
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+\name{pcaExplorer-pkg}
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+\alias{pcaExplorer-pkg}
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+\alias{pcaExplorer-pkg-package}
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+\title{pcaExplorer: analyzing time-lapse microscopy imaging, from detection to tracking}
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+\description{
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+pcaExplorer provides functionality for interactive visualization of RNA-seq datasets
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+based on Principal Components Analysis. The methods provided allow for quick information
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+extraction and effective data exploration. A Shiny application encapsulates the whole analysis.
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+}
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+\details{
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+pcaExplorer provides functionality for interactive visualization of RNA-seq datasets
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+based on Principal Components Analysis. The methods provided allow for quick information
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+extraction and effective data exploration. A Shiny application encapsulates the whole analysis.
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+}
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+\author{
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+Federico Marini \email{[email protected]}, 2016
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+
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+Maintainer: Federico Marini \email{[email protected]}
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+}