Feature reduction for gene regulatory network control

Tan M., POLAT F., Alhajj R.

7th IEEE International Conference on Bioinformatics and Bioengineering, Massachusetts, United States Of America, 14 - 17 October 2007, pp.1260-1261 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/bibe.2007.4375727
  • City: Massachusetts
  • Country: United States Of America
  • Page Numbers: pp.1260-1261
  • Middle East Technical University Affiliated: Yes


Scalability is one of the most important issues in control problems, including the control of gene regulatory networks. In this paper we argue that it is possible to improve scalability of gene regulatory networks control by reducing the number of genes to be considered by the control policy; and consequently propose a novel method to estimate genes that are less important for control. The reported test results on real and synthetic data demonstrate the applicability and effectiveness of the proposed approach.