Categories: benchmark, inference, networks, signaling, simulation

SiGNet is a tool for simulating biological data for a signalling network of known structure. This data can then be used for benchmarking of inference strategies by performing inference on the simulated data and scoring the predictions against the gold standard, known network structure.

Authors:

• Elizabeth Coker (The Institute of Cancer Research, London)