ddepn (2.2)

0 users

Dynamic Deterministic Effects Propagation Networks: Infer signalling networks for timecourse RPPA data..

http://cran.r-project.org/web/packages/ddepn

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.

Maintainer: Christian Bender
Author(s): Christian Bender

License: GPL (>= 2)

Uses: coda, gam, gplots, graph, igraph, lattice, BoolNet

Released almost 4 years ago.


11 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of ddepn yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for ddepn on google, google scholar, r-help, r-devel.

Visit ddepn on R Graphical Manual.