Man pages for Cascade
Selection, Reverse-Engineering and Prediction in Cascade Networks
| analyze_network-network-method | Analysing the network |
| as.micro_array | Coerce a matrix into a micro_array object. |
| Cascade-package | The Cascade Package: Selection, Reverse-Engineering and... |
| compare-methods | Some basic criteria of comparison between actual and inferred... |
| cutoff-network-method | Choose the best cutoff |
| dim | Dimension of the data |
| evolution-network-method | See the evolution of the network with change of cutoff |
| gene_expr_simulation-network-method | Simulates microarray data based on a given network. |
| geneNeighborhood-network-method | Find the neighborhood of a set of nodes. |
| geneSelection | Methods for selecting genes |
| head-micro_array-method | Overview of a micro_array object |
| inference-micro_array-method | Reverse-engineer the network |
| M | Simulated M data for examples. |
| micro_array-class | Class '"micro_array"' |
| micropredict-class | Class '"micropredict"' |
| Net | Simulated network data for examples. |
| Net_inf | Reverse-engineered network of the simulated data. |
| network | A network object data. |
| network-class | Class '"network"' |
| network_random | Generates a network. |
| plot-methods | Plot |
| position-methods | Returns the position of edges in the network |
| predict-micro_array-method | Prediction of the gene expressions after a knock-out... |
| print-methods | Methods for Function 'print' |
| Selection | Selection of genes. |
| summary-methods | Methods for Function 'summary' |
| unionMicro-methods | Makes the union between two micro_array objects. |
