Picture of athlete cycling

Open Access research with a real impact on health...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

Temporal inference of probabilistic boolean networks

Marshall, S. and Yu, L. and Xiao, Y. and Dougherty, E. (2006) Temporal inference of probabilistic boolean networks. In: 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, 2006-05-28 - 2006-05-30.

Full text not available in this repository. Request a copy from the Strathclyde author

Abstract

This paper presents a new method of fitting probabilistic Boolean networks (PBNs) to time-course state data. The critical issue to be addressed is to identify the contributions of the PBN's constituent Boolean networks in a sequence of temporal data. The sequence must be partitioned into sections, each corresponding to a single model with fixed parameters. We propose an approach to subsequence identification based on 'purity functions' derived from state transition tables, to be used in conjunction with a method for the identification of predictor genes and functions. We also present the estimation of the network switching probability, selection probabilities, perturbation rate, as well as observations on the inference of input genes, predictor functions and their relation with the length of the observed data sequence.