dataSimHuman: Simulated cell signalling pathway data

In FBFsearch: Algorithm for Searching the Space of Gaussian Directed Acyclic Graph Models Through Moment Fractional Bayes Factors

Simulated cell signalling pathway data

Description

Data generated from the known regulatory network of human cell signalling data.

Usage

data(SimHumanPw)

Format

dataSimHuman contains the following objects:

Obs

List of 100 matrices (100x11) each of which with 100 observations simulated from the known regulatory network.

Perms

List of 5 matrices (1x11) each of which with a permutation of the nodes.

TDag

Matrix (11x11) with the adjacency matrix of the known regulatory network.

Source

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.

References

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.

FBFsearch documentation built on Aug. 8, 2022, 5:06 p.m.