Parameter estimation in biochemical pathways: a comparison of global optimization methods.
about
Bottom-up modeling approach for the quantitative estimation of parameters in pathogen-host interactions.Towards a unifying, systems biology understanding of large-scale cellular death and destruction caused by poorly liganded iron: Parkinson's, Huntington's, Alzheimer's, prions, bactericides, chemical toxicology and others as examplesLimitations and potentials of current motif discovery algorithms.Wildfire: distributed, Grid-enabled workflow construction and execution.Iterative approach to model identification of biological networksNew types of experimental data shape the use of enzyme kinetics for dynamic network modelingSingle-molecule enzymology à la Michaelis-MentenReverse engineering and identification in systems biology: strategies, perspectives and challengesMetabolomics and systems pharmacology: why and how to model the human metabolic network for drug discoverySystematic integration of experimental data and models in systems biologyAutomatic generation of predictive dynamic models reveals nuclear phosphorylation as the key Msn2 control mechanism.Quantitative and logic modelling of molecular and gene networksIron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseasesExtended kalman filter for estimation of parameters in nonlinear state-space models of biochemical networksWhen the optimal is not the best: parameter estimation in complex biological modelsOptimization of time-course experiments for kinetic model discriminationMoment fitting for parameter inference in repeatedly and partially observed stochastic biological modelsIdentifying optimal models to represent biochemical systemsUnderstanding the sub-cellular dynamics of silicon transportation and synthesis in diatoms using population-level data and computational optimizationcuTauLeaping: a GPU-powered tau-leaping stochastic simulator for massive parallel analyses of biological systemsHEPNet: A Knowledge Base Model of Human Energy Pool Network for Predicting the Energy Availability Status of an IndividualSparse Regression Based Structure Learning of Stochastic Reaction Networks from Single Cell Snapshot Time SeriesMathematical modeling of plant metabolism-from reconstruction to predictionScalable Parameter Estimation for Genome-Scale Biochemical Reaction NetworksTailored parameter optimization methods for ordinary differential equation models with steady-state constraintsDynamic analysis of integrated signaling, metabolic, and regulatory networks.Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems.Inferring Drosophila gap gene regulatory network: a parameter sensitivity and perturbation analysisApplication of a single-objective, hybrid genetic algorithm approach to pharmacokinetic model buildingSpatial gradients of protein-level time delays set the pace of the traveling segmentation clock waves.Robust and efficient parameter estimation in dynamic models of biological systemsParameter estimation methods for gene circuit modeling from time-series mRNA data: a comparative study.Learning stochastic process-based models of dynamical systems from knowledge and data.PATHLOGIC-S: a scalable Boolean framework for modelling cellular signallingBringing metabolic networks to life: integration of kinetic, metabolic, and proteomic data.A method for estimation of elasticities in metabolic networks using steady state and dynamic metabolomics data and linlog kineticsIdentification of growth phases and influencing factors in cultivations with AGE1.HN cells using set-based methodsBayesian Computation Methods for Inferring Regulatory Network Models Using Biomedical Data.A new efficient approach to fit stochastic models on the basis of high-throughput experimental data using a model of IRF7 gene expression as case study.ODE constrained mixture modelling: a method for unraveling subpopulation structures and dynamics
P2860
Q21131074-03A9C099-B5BC-4BC1-8CEF-36131F12FC38Q24289511-3133BF96-E13C-41DD-962B-5E2E201F45F4Q24811129-563B8685-1E73-4F71-9A48-DEB9F33474A3Q24811570-288D16CC-6B95-489A-AA95-950B6F0C1FC0Q24815027-67932F01-5A1E-43DB-A233-AAF4C450ADF8Q26823013-D1413159-B272-4D5D-8D5D-044D4FC967C8Q26823729-EFD14035-93B8-4646-B97C-8A8DA6065DE6Q27012931-356FF854-E77C-4A26-96C2-DBB4C1055753Q27144251-26436743-2EF6-4930-ADED-61DAB045D84BQ27496467-4F6062A5-70CD-4880-9382-8FECB2BE44A0Q27933884-D837DA11-E753-4997-919A-CCBB05D87120Q28083248-B763DFC9-48C6-481E-92DF-E8E275E6588EQ28388335-D029F468-AA19-4FE1-B330-5704C636E31CQ28474085-367C6F01-DFF5-4710-ABA3-891CBBC1F1D5Q28475904-F5DB856F-CC33-4610-B693-21944E340AFAQ28481387-DD715A81-8FC4-44E9-B99F-CA901A3FE465Q28482192-ADC48659-63AB-438A-BF90-543710B17978Q28538461-898CF660-357B-4E05-81A6-20720DDA8748Q28539835-683232AB-2E84-4DD5-8B29-EFD31DCA95D0Q28541383-CA1F4B82-B09B-4FCE-9631-2B4E8F8BD954Q28548020-096C1E67-F663-47F5-95A9-0E78A11584CAQ28554794-BDB64C97-F124-4CB2-A696-84DA413FF51CQ28660150-997227CF-F3C2-4AD2-A908-3BB09AF43BEAQ28818540-1027C86B-53FE-4062-8E49-B40AA48F078BQ28829341-C0D252D9-8B3E-4CF3-8A1B-763F9A860C9DQ30441717-8787C1A1-4031-4E9E-985C-BEB5DD4423C4Q30486591-AD975C54-0D00-4FB0-9A6E-FDA7F75FBED9Q30490935-13089E9C-997E-4887-B3B0-C751281EFBC3Q30521370-B3DB3E7B-0387-45EA-A777-E92822EBF417Q30617464-025D8EF6-286C-492A-8709-1FD04324B879Q30671122-D6609A94-23EB-4DB6-9D07-B49BF82D0FFAQ30918589-F9F30A01-EA96-4C46-87C0-D2968E1AEB41Q31061814-F051A395-6D59-46C6-BEBB-05D5DEA1F41FQ31081182-E9E16023-C532-4318-B684-EFCB937B6E85Q31085868-12933828-20DE-4F50-A5F8-5EE95332B3CFQ31087514-ABEA8FD7-973E-42F0-8B9C-226B8061950EQ31126202-0090B894-E6ED-4C10-88D9-ECD7C3ECE1C9Q31140597-A0937D1E-E402-4693-9B5C-B1EA86BFA8F3Q31163959-6E608617-C471-4CB8-AE46-DEC551730722Q31172585-0B8B13C7-0546-4864-A86A-DEBE168C7221
P2860
Parameter estimation in biochemical pathways: a comparison of global optimization methods.
description
2003 nî lūn-bûn
@nan
2003 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Parameter estimation in bioche ...... f global optimization methods.
@ast
Parameter estimation in bioche ...... f global optimization methods.
@en
type
label
Parameter estimation in bioche ...... f global optimization methods.
@ast
Parameter estimation in bioche ...... f global optimization methods.
@en
prefLabel
Parameter estimation in bioche ...... f global optimization methods.
@ast
Parameter estimation in bioche ...... f global optimization methods.
@en
P2860
P356
P1433
P1476
Parameter estimation in bioche ...... f global optimization methods.
@en
P2093
Carmen G Moles
P2860
P304
P356
10.1101/GR.1262503
P577
2003-10-14T00:00:00Z