BCM

BCM (Bayesian analysis of Computational Models) is a tool for studying computational models using Bayesian statistics. The BCM algorithm includes several functions to generate posterior samples and compute the marginal likelihood. BCM package supports The Systems Biology Markup Language (SBML), Network Common Data Form (NetCDF), and ordinary differential equations (ODEs) with CVODE solver, among others.

Topic

Systems biology;Statistics and probability;Software engineering

Detail

  • Operation: Service composition

  • Software interface: Library

  • Language: R;C++

  • License: MPL-2.0

  • Cost: Free

  • Version name: 2.0.1

  • Credit: The Gravitation program of the Netherlands Organization for Scientific Research (NWO).

  • Input: -

  • Output: -

  • Contact: Bram Thijssen b.thijssen@nki.nl, Lodewyk F A Wessels l.wessels@nki.nl

  • Collection: -

  • Maturity: -

Publications

  • BCM: toolkit for Bayesian analysis of Computational Models using samplers.
  • Thijssen B, Dijkstra TM, Heskes T, Wessels LF. BCM: toolkit for Bayesian analysis of Computational Models using samplers. BMC Syst Biol. 2016 Oct 21;10(1):100. doi: 10.1186/s12918-016-0339-3. PMID: 27769238; PMCID: PMC5073811.
  • https://doi.org/10.1186/s12918-016-0339-3
  • PMID: 27769238
  • PMC: PMC5073811

Download and documentation

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