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Maximizing the information content of experiments in systems biologyStudying Cellular Signal Transduction with OMIC TechnologiesNew types of experimental data shape the use of enzyme kinetics for dynamic network modelingOptimal experimental design for parameter estimation of a cell signaling modelWhen the optimal is not the best: parameter estimation in complex biological modelsParameter identifiability and sensitivity analysis predict targets for enhancement of STAT1 activity in pancreatic cancer and stellate cellsRobust optimal design of experiments for model discrimination using an interactive software toolModel-based analysis for qualitative data: an application in Drosophila germline stem cell regulationParameter identifiability-based optimal observation remedy for biological networks.A model invalidation-based approach for elucidating biological signalling pathways, applied to the chemotaxis pathway in R. sphaeroides.Tracing the molecular basis of transcriptional dynamics in noisy data by using an experiment-based mathematical model.Temporal Data Set Reduction Based on D-Optimality for Quantitative FLIM-FRET Imaging.Systems biology: model based evaluation and comparison of potential explanations for given biological data.An iterative identification procedure for dynamic modeling of biochemical networksDiscriminating between rival biochemical network models: three approaches to optimal experiment design.A Bayesian method for inferring quantitative information from FRET data.Structural identifiability of systems biology models: a critical comparison of methodsSet membership experimental design for biological systems.Threshold-free population analysis identifies larger DRG neurons to respond stronger to NGF stimulation.Efficient reverse-engineering of a developmental gene regulatory network.Experimental design for parameter estimation of gene regulatory networksOptimal experiment selection for parameter estimation in biological differential equation models.Proteomics analysis of date palm leaves affected at three characteristic stages of brittle leaf disease.Likelihood based observability analysis and confidence intervals for predictions of dynamic modelsStatistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs.Exhaustively characterizing feasible logic models of a signaling network using Answer Set Programming.Identification of parameter correlations for parameter estimation in dynamic biological models.Prediction stability in a data-based, mechanistic model of σF regulation during sporulation in Bacillus subtilis.Reverse-engineering post-transcriptional regulation of gap genes in Drosophila melanogasterNetwork topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approachExperimental design for dynamics identification of cellular processes.A computational model of PKD and CERT interactions at the trans-Golgi network of mammalian cells.A Bayesian active learning strategy for sequential experimental design in systems biology.Multifactorial Optimization of Contrast-Enhanced Nanofocus Computed Tomography for Quantitative Analysis of Neo-Tissue Formation in Tissue Engineering Constructs.Efficient Optimization of Stimuli for Model-Based Design of Experiments to Resolve Dynamical Uncertainty.Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics.A simple method for identifying parameter correlations in partially observed linear dynamic modelsProtein significance analysis in selected reaction monitoring (SRM) measurements.A Bayesian approach to targeted experiment design.Designing Experiments to Discriminate Families of Logic Models.
P2860
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P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on February 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Systems biology: experimental design.
@en
Systems biology: experimental design.
@nl
type
label
Systems biology: experimental design.
@en
Systems biology: experimental design.
@nl
prefLabel
Systems biology: experimental design.
@en
Systems biology: experimental design.
@nl
P2860
P1433
P1476
Systems biology: experimental design.
@en
P2093
Clemens Kreutz
Jens Timmer
P2860
P304
P356
10.1111/J.1742-4658.2008.06843.X
P407
P577
2009-02-01T00:00:00Z