Modelling of macrophage gene expression in the interferon pathway

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

Research output: Contribution to conferencePaper

5 Citations (Scopus)

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
Pages45-46
Number of pages2
DOIs
Publication statusPublished - 30 May 2007
Event2006 IEEE International Workshop on Genomic Signal Processing and Statstics - Texas, United States
Duration: 28 May 200630 May 2006

Conference

Conference2006 IEEE International Workshop on Genomic Signal Processing and Statstics
Abbreviated titleGENSIPS 2006
CountryUnited States
CityTexas
Period28/05/0630/05/06

Keywords

  • bioinformatics
  • biological system modeling
  • computational biology
  • gene expression
  • informatics
  • predictive models
  • macrophage
  • modelling
  • interferon pathway

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