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What is Network Inference

Chapter 20
Handbook of Research on Systems Biology Applications in Medicine
The attempt to discover the relationships between the components (or nodes such as genes, proteins, metabolites) of the network. It is a form of the inverse problem where one starts from the observations (gene expression levels from DNA microarrays for instance) and intends to identify the causes that led to such observations. Due to the very large number of potential players, this is a non-trivial problem which requires a massive amount of data.
Published in Chapter:
Systems Biology Applied to Cancer Research
R. Seigneuric (GROW Research Institute, University of Maastricht, The Netherlands), N.A.W. van Riel (Eindhoven University of Technology, The Netherlands), M.H.W. Starmans (GROW Research Institute, University of Maastricht, The Netherlands), and A. van Erk (University of Maastricht, The Netherlands)
Copyright: © 2009 |Pages: 15
DOI: 10.4018/978-1-60566-076-9.ch020
Abstract
Complex diseases such as cancer have multiple origins and are therefore difficult to understand and cure. Highly parallel technologies such as DNA microarrays are now available. These provide a data deluge which needs to be mined for relevant information and integrated to existing knowledge at different scales. Systems Biology is a recent field which intends to overcome these challenges by combining different disciplines and provide an analytical framework. Some of these challenges are discussed in this chapter.
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