Data generated from the known regulatory network of human cell signalling data.
dataSimHuman contains the following objects:
List of 100 matrices (100x11) each of which with 100 observations simulated from the known regulatory network.
List of 5 matrices (1x11) each of which with a permutation of the nodes.
Matrix (11x11) with the adjacency matrix of the known regulatory network.
D. Altomare, G. Consonni and L. La Rocca (2012). Objective Bayesian search of Gaussian directed acyclic graphical models for ordered variables with non-local priors. Article submitted to Biometric Methodology.
Sachs, K., Perez, O., Pe'er, D., Lauffenburger, D., and Nolan, G. (2003). Casual protein- signaling networks derived from multiparameter single-cell data. Science 308, 504-6.
Shojaie, A. and Michailidis, G. (2010). Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs. Biometrika 97, 519-538.
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