8
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 the life sciences: a protein-signalling data set from which we want to discover the interactions and the 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.
8.1 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 profiles. Following the work of Friedman et al. (2000), the expression level or the allele frequency of each gene is ...
Get Bayesian Networks, 2nd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
