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IPM
30
YEARS OLD

“School of Biological Sciences”

Paper   IPM / Biological Sciences / 13297
   School of Biological Sciences
  Title: Inferring gene correlation networks from transcription factor binding sites
  Author(s):
1 . G. Mahdevar.
2 . A. Nowzari-Dalini.
3 . M. Sadeghi.
  Status: Published
  Journal: Genes & genetic systems
  No.: 5
  Vol.: 88
  Year: 2013
  Pages: 301-309
  Supported by: IPM
  Abstract:
Gene expression is a highly regulated biological process that is fundamental to the existence of phenotypes of any living organism. The regulatory relations are usually modeled as a network; simply, every gene is modeled as a node and relations are shown as edges between two related genes. This paper presents a novel method for inferring correlation networks, networks constructed by connecting co-expressed genes, through predicting co-expression level from genes promoter�??s sequences. According to the results, this method works well on biological data and its outcome is comparable to the methods that use microarray as input. The method is written in C++ language and is available upon request from the corresponding author.

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