BNMCMC specifications


Unique identifier OMICS_31832
Alternative name Bayesian Network learning with Markov Chain Monte Carlo
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data A scatter plot of log posterior probability of the sampled Bayesian network (BN) per sampling iteration, and visualizations of two types of inferred BNs.
Operating system Unix/Linux
Programming languages C++, Java
Computer skills Advanced
Stability Stable
Maintained Yes




No version available


  • person_outline M. Azad

Publication for Bayesian Network learning with Markov Chain Monte Carlo

BNMCMC institution(s)
School of Biochemistry and Biomolecular Sciences, University of NSW, Chancellery Walk, Kensington, NSW, Australia; Department of Mathematics and Statistics, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia; School of Mathematical Sciences, Monash University, Clayton, VIC, Australia

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