Partially Observable Gene Regulatory Network Control Without a Boundary on Horizon


Erdogdu U., POLAT F. , Alhajj R.

IEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI), Athens, Greece, 7 - 09 November 2012, pp.81-88 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ictai.2012.20
  • City: Athens
  • Country: Greece
  • Page Numbers: pp.81-88

Abstract

Gene regulatory networks (GRNs) govern the protein transcription process in the cell and interactions among genes play a vital role in determining the biosynthesis rate of proteins. By using intervention techniques discovered by biological research it is possible to control a GRN, thus promoting or demoting the expression rate of a certain gene. In this work, this control task is studied in a partially observable setting where interventions lack perfect knowledge of the expression level of all genes. Moreover, we formulated the task as a lifelong control problem and developed a more flexible and scalable method than the alternatives described in the literature.