Day 4: Bayesian Networks

  • Teachers: C. Herrmann

Schedule

  • Lecture: Friday 9.30-11.30

  • Practical session + discussion: Friday 1pm-4pm

For those attending the seminar online, please use the following link

Please make sure to install RStudio on your laptop as well as the R library bnlearn with the command:

install.packages('bnlearn')
install.packages('ggplot2')
install.packages('reshape2')
install.packages('Ckmeans.1d.dp')
install.packages('corrplot')
install.packages('igraph')

References

  • Probabilistic Graphical Models D. Koller & N. Friedman (MIT Press) Causality J. Pearl (Cambridge University Press)

  • Bayesian Networks in R R. Nagarajan, M. Scutari, S. Lèbre (Springer)

Review papers

  • A primer on learning in Bayesian Networks for Computational Biology, C.

Needham et al. (PLOS Comp.Biol. 2007) * Inference in Bayesian Networks, C. Needham et al. (Nature Biotech. 2006) Learning Bayesian Networks in R, S.Bottcher & C Dethlefsen * https://www.bnlearn.com/