Optimal State Estimation for Boolean Dynamical Systems using a Boolean Kalman Smoother
Conference Paper
Overview
Research
Identity
Additional Document Info
Other
View All
Overview
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)