Parameter discovery for stochastic computational models in systems biology using Bayesian model checking

Faraz Hussain*, Christopher J. Langmead, Qi Mi, Joyeeta Dutta-Moscato, Yoram Vodovotz, Sumit K. Jha

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Parameterized probabilistic complex computational (P2C2) models are being increasingly used in computational systems biology for analyzing biological systems. A key challenge is to build mechanistic P2C2 models by combining prior knowledge and empirical data, given that certain system properties are unknown. These unknown components are incorporated into a model as parameters and determining their values has traditionally been a process of trial and error. We present a new algorithmic procedure for discovering parameters in agent-based models of biological systems against behavioral specifications mined from large data-sets. Our approach uses Bayesian model checking, sequential hypothesis testing, and stochastic optimization to synthesize parameters of P2C2 models. We demonstrate our algorithm by discovering the amount and schedule of doses of bacterial lipopolysaccharide in a clinical agent-based model of the dynamics of acute inflammation that guarantee a set of desired clinical outcomes with high probability.

Original languageEnglish
Title of host publication2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479957866
DOIs
StatePublished - 24 Jul 2014
Externally publishedYes
Event2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014 - Miami, United States
Duration: 2 Jun 20144 Jun 2014

Publication series

Name2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014

Conference

Conference2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014
Country/TerritoryUnited States
CityMiami
Period2/06/144/06/14

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