Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Parallel Hematopoietic Stem Cell Division Rate Estimation Using an Agent-Based Model on the Grid

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
van der Wath, R.C. ; Eng. Comput. Biol. Group, Univ. of Western Australia, Perth, WA, Australia ; van der Wath, E.C. ; Lio, P.

In previous work we presented supportive computational analysis on newly found biological evidence which indicates the existence of a dormant Hematopoietic Stem Cell (HSC) population. Through extensive modelling of experimental DNA label-retaining cell data we showed that an ordinary differential equation (ODE) model can successfully capture a heterogeneous HSC population structure. The ODE model's analytical tractability made it especially suitable for parameter estimation in contrast to an earlier agent-based model we developed on a related but independent Bromodeoxyuridine (BrdU) dataset. For this current study we explore the predictive power of the same agent-based model on the larger more elaborate BrdU dataset by comparing the BrdU detection threshold (BDT) estimates of both the ODE (continuous BDT implementation) and agent-based (discrete BDT implementation) models. We therefore re-estimate the HSC division parameters using the agent-based model which entailed a brute-force search approach. In order to cover a worthwhile region of the parameter hyperspace within a reasonable amount of time we executed our search algorithm in parallel over the EGEE Grid environment. Our results indicate that the agent-based model more or less supports the same conclusions as the ODE model. However, actual cell division rate estimates as well as model prediction differ slightly for the same set of parameters. The estimates for the dormant HSC proportion and BDT, on the other hand, are in strong agreement with the ODE estimates. For the BDT in particular, this is an encouraging result as the two models have a very different approach in their implementation of the BDT.

Published in:

Parallel, Distributed and Network-Based Processing (PDP), 2011 19th Euromicro International Conference on

Date of Conference:

9-11 Feb. 2011