GSR: Simulator - GeneSPIDER
|Short Description||Gene regulatory network inference benchmarking with controlled network and data properties|
|Long Description||Inference of gene regulatory networks (GRNs) is a central goal in systems biology. It is therefore important to evaluate the accuracy of GRN inference methods in the light of network and data properties. Although several packages are available for modelling, simulate, and analyse GRN inference, they offer limited control of network topology together with system dynamics, experimental design, data properties, and noise characteristics. Independent control of these properties in simulations is key to drawing conclusions about which inference method to use in a given condition and what performance to expect from it, as well as to obtain properties representative of real biological systems.|
|Last Release||3 years, 9 months ago|
|Citations||Tjärnberg A, Morgan DC, Studham M, Nordling TEM, Sonnhammer ELL, GeneSPIDER - gene regulatory network inference benchmarking with controlled network and data properties., Mol Biosyst, 06-27-2017 [ Abstract, cited in PMC ]|
|GSR Certification||This simulator has not yet been evaluated for GSR Certification. Learn more about or request GSR Certification.|
|Author verification||The basic description provided was derived from a website or publications by the GSR team and has not yet been verified by the simulation author. To modify this entry or add more information, propose changes to this simulator.|
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|Population Size Changes|
No example publication using GeneSPIDER has been provided.
Please propose new citations if you are aware of publications that use this software.