title: Challenges when using real-world bio-data to calibrate simulation systems.
abstract: Computer simulations allow us to gain insight into biological systems that would not be possible without destroying or changing the system in significant ways. To ensure that results are relevant, real-world bio-data should be used to calibrate simulations. Real-world data contain uncertainty due to the nature of how it is obtained. This chapter provides various sources on uncertainty and methods to cope with this challenge.
authors: Old Dominion University, Norfolk, VA, USA.
authors: Elaine M
authors: EM
authors: Blount
authors: Stacie I
authors: SI
authors: Ringleb
authors: Andreas
authors: A
authors: Tolk
mesh_terms: D001499:Bayes Theorem; D019295:Computational Biology; D003198:Computer Simulation / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D008954:Models, Biological; D009010:Monte Carlo Method; D012984:Software