A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions. - Wikidata - wikimedia - TriplyDB

A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions.

A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions.

http://www.wikidata.org/entity/Q37496334

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Iterative approach to model identification of biological networks Reverse engineering and identification in systems biology: strategies, perspectives and challenges Identification of genome-scale metabolic network models using experimentally measured flux profiles Computationally derived points of fragility of a human cascade are consistent with current therapeutic strategies Stimulus design for model selection and validation in cell signaling Optimization of time-course experiments for kinetic model discrimination Robust optimal design of experiments for model discrimination using an interactive software tool A model invalidation-based approach for elucidating biological signalling pathways, applied to the chemotaxis pathway in R. sphaeroides.ENNET: inferring large gene regulatory networks from expression data using gradient boosting Identification of growth phases and influencing factors in cultivations with AGE1.HN cells using set-based methods Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems.Efficient classification of complete parameter regions based on semidefinite programming.A test of highly optimized tolerance reveals fragile cell-cycle mechanisms are molecular targets in clinical cancer trials On validation and invalidation of biological models Developing optimal input design strategies in cancer systems biology with applications to microfluidic device engineering.An iterative identification procedure for dynamic modeling of biochemical networks Towards a rigorous assessment of systems biology models: the DREAM3 challenges Discriminating between rival biochemical network models: three approaches to optimal experiment design.Modeling cell-cell interactions in regulating multiple myeloma initiating cell fate.Ensembles of signal transduction models using Pareto Optimal Ensemble Techniques (POETs)Simultaneous model discrimination and parameter estimation in dynamic models of cellular systems BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology.A Bayesian active learning strategy for sequential experimental design in systems biology.Designing Experiments to Discriminate Families of Logic Models.Sloppy models, parameter uncertainty, and the role of experimental design Prediction of treatment efficacy for prostate cancer using a mathematical model.Systems biology: experimental design.Cutting the wires: modularization of cellular networks for experimental design.Approaches to biosimulation of cellular processes.Model-based design of experiments for cellular processes.An integrative top-down and bottom-up qualitative model construction framework for exploration of biochemical systems.ADMIT: a toolbox for guaranteed model invalidation, estimation and qualitative-quantitative modeling Optimal design of stimulus experiments for robust discrimination of biochemical reaction networks.Experimental design schemes for learning Boolean network models.An Integrated Qualitative and Quantitative Biochemical Model Learning Framework Using Evolutionary Strategy and Simulated Annealing.Cell-cell interaction networks regulate blood stem and progenitor cell fate.An integrative and practical evolutionary optimization for a complex, dynamic model of biological networks.Experiment Design for Early Molecular Events in HIV Infection.CrossPlan: Systematic Planning of Genetic Crosses to Validate Mathematical Models.A global parallel model based design of experiments method to minimize model output uncertainty.

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A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions.

http://www.wikidata.org/entity/Q37496334

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on September 2004

@en

vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

@cs

name

A benchmark for methods in rev ...... lem formulation and solutions.

@en

A benchmark for methods in rev ...... lem formulation and solutions.

@nl

type

label

A benchmark for methods in rev ...... lem formulation and solutions.

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A benchmark for methods in rev ...... lem formulation and solutions.

@nl

prefLabel

A benchmark for methods in rev ...... lem formulation and solutions.

@en

A benchmark for methods in rev ...... lem formulation and solutions.

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Genome Research

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A benchmark for methods in rev ...... lem formulation and solutions.

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Andreas Kremling

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Ernst D Gilles

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Francis J Doyle

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Kapil Gadkar

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Sophia Fischer

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Thomas Sauter

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10.1101/GR.1226004

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14

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8369183

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