Publication Name
Handbook of Statistical Systems Biology
Publisher
Wiley
ISBN
978-0-470-71086-9
Abstract
The present chapter provides a concise introduction to
Bayesian learning of Bayesian networks, and then discusses
two problems of particular relevance to systems biology:
systematically integrating biological prior knowledge into
the inference process, and learning regulatory networks from
non-homogeneous temporal processes.
We demonstrate the application of these methods
on two network reconstruction problems:
learning a protein signalling
pathway from flow cytometry data, and learning a gene regulatory
network related to circadian regulation in the model
plant Arabidopsis from microarray gene expression time series.
Year
2011
Category
Book Chapter