Optimal State Estimation for Boolean Dynamical Systems using a Boolean Kalman Smoother Conference Paper

abstract

• 2015 IEEE. This paper is concerned with state estimation at a fixed time point in a given time series of observations of a Boolean dynamical system. Towards this end, we introduce the Boolean Kalman Smoother, which provides an efficient algorithm to compute the optimal MMSE state estimator for this problem. Performance is investigated using a Boolean network model of the p53-MDM2 negative feedback loop gene regulatory network observed through time series of Next-Generation Sequencing (NGS) data.

name of conference

• 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

authors

• Braga Neto, Ulisses

published proceedings

• 2015 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP)

altmetric score

• 3

author list (cited authors)

• Imani, M., & Braga-Neto, U.

citation count

• 31

complete list of authors

• Imani, Mahdi||Braga-Neto, Ulisses

publication date

• January 2015

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Boolean Dynamical System
• Boolean Kalman Smoother
• Gene Regulatory Network

Digital Object Identifier (DOI)

• 10.1109/globalsip.2015.7418342

International Standard Book Number (ISBN) 13

• 9781479975914

start page

• 972

end page

• 976

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fglobalsip.2015.7418342