# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "lpNet" in publications use:' type: software license: Artistic-2.0 title: 'lpNet: Linear Programming Model for Network Inference' version: 2.37.0 abstract: 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. authors: - family-names: Kaderali given-names: Lars email: lars.kaderali@uni-greifswald.de - family-names: Knapp given-names: Bettina - family-names: Matos given-names: Marta R. A. - family-names: Mazur given-names: Johanna repository: https://bioc.r-universe.dev contact: - family-names: Kaderali given-names: Lars email: lars.kaderali@uni-greifswald.de