Establishing the Theoretical Relationship between Bayesian Inference and Dynamical Structure Functions for Network Reconstruction

Authors

Julius Adebayo, Brigham Young University
Dr. Sean Warnick, Brigham Young University

Keywords

theoretical relationship, bayesian inference, dynamical structure functions, network reconstructions

College

Physical and Mathematical Sciences

Department

Computer Science

Abstract

A system-level understanding of the functioning behavior of a cell requires an accurate representation of the underlying networks of gene and protein interactions. Network reconstruction is an area of systems biology that attempts to reconstruct the network of regulatory interactions from available measurements using a mathematical framework. Developing a theoretical relationship between Bayesian inference methods and dynamical structure functions is an important first step in developing unique qualitative processes that correctly infer network structures [1], [3].

Recommended Citation

Adebayo, Julius and Warnick, Dr. Sean (2014) "Establishing the Theoretical Relationship between Bayesian Inference and Dynamical Structure Functions for Network Reconstruction," Journal of Undergraduate Research: Vol. 2014: Iss. 1, Article 1175.
Available at: https://scholarsarchive.byu.edu/jur/vol2014/iss1/1175