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CLADE
2008
IEEE
14 years 2 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
CORR
2007
Springer
110views Education» more  CORR 2007»
13 years 7 months ago
Computer algebra in systems biology
Systems biology focuses on the study of entire biological systems rather than on their individual components. With the emergence of high-throughput data generation technologies for...
Reinhard C. Laubenbacher, Bernd Sturmfels
BMCBI
2006
123views more  BMCBI 2006»
13 years 7 months ago
Computational models with thermodynamic and composition features improve siRNA design
Background: Small interfering RNAs (siRNAs) have become an important tool in cell and molecular biology. Reliable design of siRNA molecules is essential for the needs of large fun...
Svetlana A. Shabalina, Alexey N. Spiridonov, Aleks...
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 10 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
MSWIM
2004
ACM
14 years 1 months ago
Experimental evaluation of wireless simulation assumptions
All analytical and simulation research on ad hoc wireless networks must necessarily model radio propagation using simplifying assumptions. Although it is tempting to assume that a...
David Kotz, Calvin C. Newport, Robert S. Gray, Jas...