Document Detail

Fast and accurate calculation of a computationally intensive statistic for mapping disease genes.
MedLine Citation:
PMID:  19432537     Owner:  NLM     Status:  MEDLINE    
Many statistical methods in biology utilize numerical integration in order to deal with moderately high-dimensional parameter spaces without closed form integrals. One such method is the PPL, a class of models for mapping and modeling genes for complex human disorders. While the most common approach to numerical integration in statistics is MCMC, this is not a good option for the PPL for a variety of reasons, leading us to develop an alternative integration method for this application. We utilize an established sub-region adaptive integration method, but adapt it to specific features of our application. These include division of the multi-dimensional integrals into three separate layers, implementing internal constraints on the parameter space, and calibrating the approximation to ensure adequate precision of results for our application. The proposed approach is compared with an empirically driven fixed grid scheme as well as other numerical integration methods. The new method is shown to require far fewer function evaluations compared to the alternatives while matching or exceeding the best of them in terms of accuracy. The savings in evaluations is sufficiently large that previously intractable problems are now feasible in real time.
Sang-Cheol Seok; Michael Evans; Veronica J Vieland
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Journal of computational biology : a journal of computational molecular cell biology     Volume:  16     ISSN:  1557-8666     ISO Abbreviation:  J. Comput. Biol.     Publication Date:  2009 May 
Date Detail:
Created Date:  2009-05-12     Completed Date:  2009-07-13     Revised Date:  2013-06-02    
Medline Journal Info:
Nlm Unique ID:  9433358     Medline TA:  J Comput Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  659-76     Citation Subset:  IM    
Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, Columbus, Ohio 43205, USA.
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MeSH Terms
Chromosome Mapping / methods*
Computational Biology / methods*
Computer Simulation
Genetic Linkage
Models, Statistical

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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