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SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
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Authors:
Xinghua Shi
University of Chicago, Chicago, IL, USA
Rick Stevens
Argonne National Laboratory, Argonne, IL, USA
Published in:
· Proceeding
CLADE '08 Proceedings of the 6th international workshop on Challenges of large applications in distributed environments
Pages 25-34
ACM
New York, NY
, USA
©2008
table of contents
ISBN: 978-1-60558-156-9
doi>
10.1145/1383529.1383535
2008 Article
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· Citation Count: 1
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bayesian approaches
biology and genetics
design
management
metabolic models
scientific workflow
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