R Development Page
Contributed R Packages
Below is a list of all packages provided by project ddepn.
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Dynamic Deterministic Effects Propagation Networks: Infer signalling networks for timecourse RPPA data.
|DDEPN (Dynamic Deterministic Effects Propagation Networks): Infer signalling networks for timecourse data. Given a matrix of high-throughput genomic or proteomic timecourse data, generated after external perturbation of the biological system, DDEPN models the time-dependent propagation of active and passive states depending on a network structure. Optimal network structures given the experimental data are reconstructed. Two network inference algorithms can be used: inhibMCMC, a Markov Chain Monte Carlo sampling approach and GA, a Genetic Algorithm network optimisation. Inclusion of prior biological knowledge can be done using different network prior models.|
|Version: 2.2.3 | Last change: 2015-01-11 18:18:18+01 | Rev.: 92|
|Download: (.tar.gz) | (.zip) | Build status: Current|
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