lpNet-package | Network Inference Of Perturbation Data Using a Linear Programming Approach. |
calcActivation | Calculate Activation Matrix |
calcPredictionKfoldCV | Calculate Predicted Observation. |
calcPredictionLOOCV | Calculate Predicted Observation. |
calcRangeLambda | Compute Range Of Penalty Parameter Lambda. |
doILP | Do The Network Inference With The Linear Programming Approach. |
getAdja | Get Adjacency Matrix. |
getEdgeAnnot | Get the annotation of the edges. |
getObsMat | Get Observation Matrix. |
getSampleAdja | Get The Sample Adjacency. |
getSampleAdjaMAD | Get The Sample Adjacency. |
kfoldCV | Cross-validation |
loocv | Cross-validation |
lpNet | Network Inference Of Perturbation Data Using a Linear Programming Approach. |
summarizeRepl | Summarize Replicate Measurements |