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What is LOI-score

Chapter 12
Handbook of Research on Computational Methodologies in Gene Regulatory Networks
The likelihood of interaction (LOI) score is a measure of the likelihood that a gene or a gene product with a particular molecular function interacts with another gene or a gene product of a particular molecular function. These scores can be derived from databases of interactions and the Gene Ontology molecular function annotations.
Published in Chapter:
Structural Learning of Genetic Regulatory Networks Based on Prior Biological Knowledge and Microarray Gene Expression Measurements
Yang Dai (University of Illinois at Chicago, USA), Eyad Almasri (University of Illinois at Chicago, USA), Peter Larsen (University of Illinois at Chicago, USA), and Guanrao Chen (University of Illinois at Chicago, USA)
Copyright: © 2010 |Pages: 21
DOI: 10.4018/978-1-60566-685-3.ch012
Abstract
The reconstruction of genetic regulatory networks from microarray gene expression measurements has been a challenging problem in bioinformatics. Various methods have been proposed for this problem including the Bayesian Network (BN) approach. In this chapter, we provide a comprehensive survey of the current development of using structure priors derived from high-throughput experimental results such as protein-protein interactions, transcription factor binding location data, evolutionary relationships, and literature database in learning regulatory networks.
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