Modeling and Inferring Gene Networks
Test of Vanishing (Partial) Correlation
Internal GeneNet Functions
The GeneNet package
Graphical Gaussian Models: Small Sample Estimation of Partial Correlat...
Graphical Gaussian Models: Simulation of Data
Graphical Gaussian Models: Simulation of Networks
Relationship Between Sample Size and the Degree of Freedom of Correlat...
Graphical Gaussian Models: Plotting the Network
Graphical Gaussian Models: Assess Significance of Edges (and Direction...
Variance-Stabilizing Transformations of the Correlation Coefficient
Analyzes gene expression (time series) data with focus on the inference of gene networks. In particular, GeneNet implements the methods of Schaefer and Strimmer (2005a,b,c) and Opgen-Rhein and Strimmer (2006, 2007) for learning large-scale gene association networks (including assignment of putative directions).