To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("mitoODE")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
The package contains the methods to fit a cell-cycle model on cell count data and the code to reproduce the results shown in the paper "Dynamical modelling of phenotypes in a genome-wide RNAi live-cell imaging assay" (submitted).
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:
source("http://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")
    
| R Script | mitoODE | |
| model.pdf | ||
| Reference Manual | ||
| Text | NEWS | 
| biocViews | CellBasedAssays, ExperimentData, Preprocessing, Software, TimeCourse | 
| Version | 1.0.0 | 
| In Bioconductor since | BioC 2.13 (R-3.0) | 
| License | LGPL | 
| Depends | R (>= 2.14.0), minpack.lm, MASS, parallel, mitoODEdata, KernSmooth | 
| Imports | |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | mitoODE_1.0.0.tar.gz | 
| Windows Binary | mitoODE_1.0.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | mitoODE_1.0.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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