Modeling Cyclic and Acyclic Therapeutic Methods with Persistent Intervention Effect in Probabilistic Boolean Networks Conference Paper

abstract

• In cancer therapy, mostly in the form of chemotherapy, the goal is to alter the likelihood of undesirable states such as those associated with disease in the long run. After delivery, a drug will be effective on the target cell(s) for some period of time, followed by a recovery phase. This paper presents a methodology to devise optimal intervention strategies for two classes of cyclic and acyclic therapeutic methods with fixed-length duration of effect for any Markovian genetic regulatory network. 2011 IEEE.

name of conference

• 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

authors

• Datta, Aniruddha
• Dougherty, Edward

published proceedings

• 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

author list (cited authors)

• Yousefi, M. R., Datta, A., & Doughrty, E. R.

citation count

• 0

complete list of authors

• Yousefi, Mohammadmahdi R||Datta, Aniruddha||Doughrty, Edward R

publication date

• December 2011

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE International Workshop on Genomic Signal Processing and Statistics : [proceedings]. IEEE International Workshop on Genomic Signal Processing and Statistics  Journal

keywords

• Biotechnology
• Cancer

Digital Object Identifier (DOI)

• 10.1109/gensips.2011.6169436

International Standard Book Number (ISBN) 13

• 9781467304900

start page

• 38

end page

• 41

URL

• http://dx.doi.org/10.1109/gensips.2011.6169436