DonaPLLP2013
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see DonaPLLP2013.
Supplementary data package for Dona et al. (2013) containing example images and tables
Bioconductor version: 3.19
An experiment data package associated with the publication Dona et al. (2013). Package contains runnable vignettes showing an example image segmentation for one posterior lateral line primordium, and also the data table and code used to analyze tissue-scale lifetime-ratio statistics.
Author: Erika Dona, Joseph D. Barry, Guillaume Valentin, Charlotte Quirin, Anton Khmelinskii, Andreas Kunze, Sevi Durdu, Lionel R. Newton, Ana Fernandez-Minan, Wolfgang Huber, Michael Knop, Darren Gilmour
Maintainer: Joseph D. Barry <joseph.barry at embl.de>
citation("DonaPLLP2013")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("DonaPLLP2013")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DonaPLLP2013")| PLLP image analysis | R Script | |
| PLLP tissue-scale ratio statistics | R Script | |
| Reference Manual |
Details
| biocViews | ExperimentData, Tissue |
| Version | 1.42.0 |
| License | Artistic-2.0 |
| Depends | EBImage, parallel |
| Imports | |
| System Requirements | |
| URL |
See More
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| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | DonaPLLP2013_1.42.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/DonaPLLP2013 |
| Source Repository (Developer Access) | git clone [email protected]:packages/DonaPLLP2013 |
| Package Short Url | https://bioconductor.org/packages/DonaPLLP2013/ |
| Package Downloads Report | Download Stats |