Constrained Reduction Mapping for a Class of Network Models of Genomic Regulation Conference Paper uri icon


  • Constructing network models of genomic regulation from data can help to better understand the manner in which genes interact in an integrative and holistic way within a given genome. One of the major impediments for the practical application of such models is their structural and computational complexity. Thus, it is sometimes necessary to construct computationally tractable sub-networks while still carrying sufficient structure for the application at hand. Hence, there is a need for size reducing mappings. This paper focuses on constrained reduction mappings for a particular class of network models that are inferred from non-temporal data. The constraints arise naturally from the structural and dynamical properties of the considered models. 2008 IEEE.

name of conference

  • 2007 IEEE/NIH Life Science Systems and Applications Workshop

published proceedings

  • 2007 IEEE/NIH Life Science Systems and Applications Workshop

author list (cited authors)

  • Ivanov, I., Vahedi, G., & Dougherty, E.

citation count

  • 1

complete list of authors

  • Ivanov, Ivan||Vahedi, Golnaz||Dougherty, Edward

publication date

  • November 2007