To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("mitoODE")
In most cases, you don't need to download the package archive at all.
This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see mitoODE.
Bioconductor version: 3.1
The package contains the methods to fit a cell-cycle model on cell count data and the code to reproduce the results shown in our paper "Dynamical modelling of phenotypes in a genome-wide RNAi live-cell imaging assay" by Pau, G., Walter, T., Neumann, B., Heriche, J.-K., Ellenberg, J., & Huber, W., BMC Bioinformatics (2013), 14(1), 308. doi:10.1186/1471-2105-14-308
Author: Gregoire Pau
Maintainer: Gregoire Pau <pau.gregoire at gene.com>
Citation (from within R,
enter citation("mitoODE")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("mitoODE")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mitoODE")
Follow Installation instructions to use this package in your R session.
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