Learning (from) the errors of a systems biology model.

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An engineering design approach to systems biology.A Bayesian approach to estimating hidden variables as well as missing and wrong molecular interactions in ordinary differential equation-based mathematical models.

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P2860

Learning (from) the errors of a systems biology model.

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http://www.wikidata.org/entity/Q36569481

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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2016年论文

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name

Learning (from) the errors of a systems biology model.

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Learning (from) the errors of a systems biology model.

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Learning (from) the errors of a systems biology model.

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Learning (from) the errors of a systems biology model.

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Learning (from) the errors of a systems biology model.

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Learning (from) the errors of a systems biology model.

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P1476

Learning (from) the errors of a systems biology model.

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P2093

Benjamin Engelhardt

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Maik Kschischo

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P2860

BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models

Automatic generation of predictive dynamic models reveals nuclear phosphorylation as the key Msn2 control mechanism.

Potassium starvation in yeast: mechanisms of homeostasis revealed by mathematical modeling

Detecting and removing inconsistencies between experimental data and signaling network topologies using integer linear programming on interaction graphs.

An iterative identification procedure for dynamic modeling of biochemical networks

Coordinated photomorphogenic UV-B signaling network captured by mathematical modeling.

Identification of nucleocytoplasmic cycling as a remote sensor in cellular signaling by databased modeling.

Topological sensitivity analysis for systems biology

Simultaneous model discrimination and parameter estimation in dynamic models of cellular systems

Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood.

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srep20772

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20772

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scholarly article

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10.1038/SREP20772

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English

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Holger Fröhlich

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2016-02-11T00:00:00Z

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294108791

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26865316

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Learning (from) the errors of a systems biology model.

about

P2860

P2860

Learning (from) the errors of a systems biology model.

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P1476

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