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Mapping network motif tunability and robustness in the design of synthetic signaling circuits.A Statistical Approach Reveals Designs for the Most Robust Stochastic Gene Oscillators.Inference in complex systems.An approximate Bayesian computation approach to parameter estimation in a stochastic stage-structured population model.Geometric methods for optimal sensor design.Approximate Bayesian Computation of diversification rates from molecular phylogenies: introducing a new efficient summary statistic, the nLTT
P2860
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Bayesian design strategies for synthetic biology
@en
type
label
Bayesian design strategies for synthetic biology
@en
prefLabel
Bayesian design strategies for synthetic biology
@en
P2860
P356
P1433
P1476
Bayesian design strategies for synthetic biology
@en
P2093
Michael P H Stumpf
P2860
P304
P356
10.1098/RSFS.2011.0056
P577
2011-10-05T00:00:00Z