Linear Programming Model for Network Inference
Description
lpNet aims at infering biological networks, in particular signaling and gene networks.
For that it takes perturbation data, either steady-state or time-series,
as input and generates an LP model which allows the inference of signaling networks.
For parameter identification either leave-one-out cross-validation or
stratified n-fold cross-validation can be used.