Modelling of macrophage gene expression in the interferon pathway

Le Yu, S. Marshall, T. Forster, P. Ghazal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a modeling approach based on Probabilistic Boolean Networks for the inference of genetic regulatory networks from gene expression time-course data in different biological conditions i.e. making use of the information contained in sets of genes and the interaction between genes rather than single-gene analyses. This model is a collection of traditional Probabilistic Boolean Networks. We also present an approach which is based on constrained prediction and Coefficient of Determination (COD) for the identification of the model from gene expression data. The modeling approach is applied in the context of pathway biology to the analysis of gene interaction networks.

Original languageEnglish
Title of host publication2006 IEEE International Workshop on Genomic Signal Processing and Statistics
Place of PublicationNEW YORK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages45-46
Number of pages2
ISBN (Print)978-1-4244-0384-4
Publication statusPublished - 2006
EventIEEE International Workshop on Genomic Signal Processing and Statistics - College St
Duration: 28 May 200630 May 2006

Conference

ConferenceIEEE International Workshop on Genomic Signal Processing and Statistics
CityCollege St
Period28/05/0630/05/06

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