
6
Real-World Applications of Bayesian Networks
We will now apply the concepts we introduced in the previous chapters to the
analysis of two real-world data sets from life sciences: a protein-signalling data
set from which we want to discover interactions and pathways characterising
some biological processes in human cells, and a medical diagnostic data set
which we will use as a basis to predict a human’s body composition.
6.1 Learning Protein-Signalling Networks
BNs provide a versatile tool for the analysis of many kinds of biological data,
such as single-nucleotide polymorphism (SNP) data and gene expression pro-
files. Following the work of Friedman ...