Man pages for miic
Learning Causal or Non-Causal Graphical Models Using Information Theory
| cosmicCancer | Genomic and ploidy alterations in breast tumors |
| cosmicCancer_stateOrder | Genomic and ploidy alterations in breast tumors |
| discretizeMDL | Discretize a real valued distribution |
| discretizeMutual | Iterative dynamic programming for (conditional) mutual... |
| getIgraph | Igraph plotting function for miic |
| hematoData | Early blood development: single cell binary gene expression... |
| miic | MIIC, causal network learning algorithm including latent... |
| miic.export | Export miic result to different plotting methods |
| miic.write.network.cytoscape | GraphML converting function for miic graph |
| miic.write.style.cytoscape | Style writing function for the miic network |
| ohno | Tetraploidization in vertebrate evolution |
| ohno_stateOrder | Tetraploidization in vertebrate evolution |
| plot.miic | Basic plot function of a miic network inference result |
