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Approximation scheme for the H-CBN model
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@sposadac sposadac released this 07 Oct 13:04
· 38 commits to master since this release
v2.0.0
1025e20

This release includes methods for parameter inference and structure learning of the H-CBN model, which we called H-CBN2. New functionalities added:

  • Approximation scheme using importance sampling to address a scalability limitation of the Hidden Conjunctive Bayesian Network as the number of mutations increases.
  • Adaptive simulated annealing algorithm to infer the maximum likelihood mutational network from the data.

This version of the package was used to run computations reported in Posada-Céspedes et al (doi:10.1101/2020.09.25.312942)

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