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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