Designing experiments to understand the variability in biochemical reaction networks.

Designing experiments to understand the variability in biochemical reaction networks.

Item
http://www.wikidata.org/entity/Q42964811
Uncoupled analysis of stochastic reaction networks in fluctuating environmentsVariability among individuals is generated at the gene expression level.Finite state projection based bounds to compare chemical master equation models using single-cell data.Iterative experiment design guides the characterization of a light-inducible gene expression circuitIntegrating single-molecule experiments and discrete stochastic models to understand heterogeneous gene transcription dynamics.Experimental Design for Stochastic Models of Nonlinear Signaling Pathways Using an Interval-Wise Linear Noise Approximation and State Estimation.Reconstructing dynamic molecular states from single-cell time series.SYSTEMS BIOLOGY. Systems biology (un)certainties.Automated optogenetic feedback control for precise and robust regulation of gene expression and cell growth.Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space.Building Predictive Models of Genetic Circuits Using the Principle of Maximum Caliber.Sensitivity estimation for stochastic models of biochemical reaction networks in the presence of extrinsic variability.Identification of Gene regulation models from single-cell data.Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study
P2860

Designing experiments to understand the variability in biochemical reaction networks.

Item
http://www.wikidata.org/entity/Q42964811
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
Designing experiments to understand the variability in biochemical reaction networks.
@en
Designing experiments to understand the variability in biochemical reaction networks.
@nl
type
label
Designing experiments to understand the variability in biochemical reaction networks.
@en
Designing experiments to understand the variability in biochemical reaction networks.
@nl
prefLabel
Designing experiments to understand the variability in biochemical reaction networks.
@en
Designing experiments to understand the variability in biochemical reaction networks.
@nl
P1433
P1476
P2093
P2860
P304
P31
P356
P433
P478
P577
P5875
P698
P818
P932
P356
P1433
P1476
Designing experiments to understand the variability in biochemical reaction networks.
@en
P2093
P2860
P304
P31
P356
P433
P478
P577
P5875
P698
P818
P932