Optimal control of gene regulatory networks with uncertain intervention effects Conference Paper

abstract

• Optimal control policies for Markovian gene regulatory networks assume that external intervention is 100% specific to control genes. In practice, however, this effect may be unpredictable in the sense that intervention may also target alternative genes. Our goal is to find an optimal control policy that performs well in such cases. We model this by an uncertainty class of controlled networks corresponding to different affected genes, governed by a probability distribution representing our confidence in the intervention specificity to each gene, and optimize relative to this uncertainty class. 2013 IEEE.

name of conference

• 2013 IEEE Global Conference on Signal and Information Processing

authors

• Ivanov, Ivan

published proceedings

• 2013 IEEE Global Conference on Signal and Information Processing

author list (cited authors)

• Yousefi, M. R., & Ivanov, I.

citation count

• 3

complete list of authors

• Yousefi, Mohammadmahdi R||Ivanov, Ivan

publication date

• January 2013

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Generic Health Relevance
• Genetics

Digital Object Identifier (DOI)

• 10.1109/globalsip.2013.6736826

International Standard Book Number (ISBN) 13

• 9781479902484

start page

• 105

end page

• 108

URL

• http://dx.doi.org/10.1109/globalsip.2013.6736826