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Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

Pinto F.R

Centro de Química e Bioquímica, Departamento de Química e Bioquímica, Faculdade de Ciências da Universidade de Lisboa,
Campo Grande, 1749-016 Lisboa
Portugal

Publications
  • Research Article
    A Probabilistic Approach to Study Yeastâ??s Gene Regulatory Network
    Author(s): Pinto F.RPinto F.R

    Using only the transcription network structure information, a probabilistic model was developed that computes the probabilities with which a pair of genes responds simultaneously (SR) or differentially (DR) to a random network perturbation. Study of yeast’s transcription regulatory network in association with gene expression profiles shows that SR and DR probabilities are significantly associated with the distribution of strong co-expression. It is 100 fold more probable to observe co-expression when P(SR)»0.5 for a random perturbation of 3 transcription factors (TFs), allowing for perturbation spread until a depth of 3 connections in the regulatory network. The model also predicts that positive co-expression enhancement is related with the proportion of common TFs (number of TFs that regulate both genes in a pair divided by the total number of.. Read More»
    DOI: 10.4172/jcsb.1000016

    Abstract PDF

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