Journal of Computer Science & Systems Biology

Pinto F.R

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