G1DBN

G1DBN: A package performing Dynamic Bayesian Network inference. G1DBN performs DBN inference using 1st order conditional dependencies.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 5 articles , 1 standard article )

Showing results 1 to 5 of 5.
Sorted by year (citations)

  1. Ajmal, Hamda B.; Madden, Michael G.: Inferring dynamic gene regulatory networks with low-order conditional independencies -- an evaluation of the method (2020)
  2. Lim, Néhémy; d’Alché-Buc, Florence; Auliac, Cédric; Michailidis, George: Operator-valued kernel-based vector autoregressive models for network inference (2015)
  3. Nagarajan, Radhakrishnan; Scutari, Marco; Lèbre, Sophie: Bayesian networks in R. With applications in systems biology (2013)
  4. Roverato, Alberto; Castelo, Robert: Learning undirected graphical models from multiple datasets with the generalized non-rejection rate (2012) ioport
  5. Lèbre, Sophie: Inferring dynamic genetic networks with low order independencies (2009)