Linked Life Data

21476748

Source:http://linkedlifedata.com/resource/pubmed/id/21476748

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
13
pubmed:dateCreated
2011-4-11
pubmed:abstractText
This paper examines the benefits of Michaelis-Menten model reduction techniques in stochastic tau-leaping simulations. Results show that although the conditions for the validity of the reductions for tau-leaping remain the same as those for the stochastic simulation algorithm (SSA), the reductions result in a substantial speed-up for tau-leaping under a different range of conditions than they do for SSA. The reason of this discrepancy is that the time steps for SSA and for tau-leaping are determined by different properties of system dynamics.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1089-7690
pubmed:author
pubmed:issnType
Electronic
pubmed:day
7
pubmed:volume
134
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
134112
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Michaelis-Menten speeds up tau-leaping under a wide range of conditions.
pubmed:affiliation
Department of Computer Science, University of California, Santa Barbara, Santa Barbara, California 93106, USA. sheng@cs.ucsb.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, N.I.H., Extramural