Global identifiability of nonlinear models of biological systems.
about
Iterative approach to model identification of biological networksIn silico model-based inference: a contemporary approach for hypothesis testing in network biologyMoment fitting for parameter inference in repeatedly and partially observed stochastic biological modelsUnderstanding the sub-cellular dynamics of silicon transportation and synthesis in diatoms using population-level data and computational optimizationA simple work flow for biologically inspired model reduction--application to early JAK-STAT signaling.Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems.Systematic identifiability testing for unambiguous mechanistic modeling--application to JAK-STAT, MAP kinase, and NF-kappaB signaling pathway modelsModeling and estimation of kinetic parameters and replicative fitness of HIV-1 from flow-cytometry-based growth competition experiments.Systems engineering medicine: engineering the inflammation response to infectious and traumatic challenges.DAISY: a new software tool to test global identifiability of biological and physiological systemsExamples of testing global identifiability of biological and biomedical models with the DAISY software.The core control system of intracellular iron homeostasis: a mathematical model.Simultaneous model discrimination and parameter estimation in dynamic models of cellular systemsA graphical method for practical and informative identifiability analyses of physiological models: a case study of insulin kinetics and sensitivity.ON IDENTIFIABILITY OF NONLINEAR ODE MODELS AND APPLICATIONS IN VIRAL DYNAMICS.Understanding immunology via engineering design: the role of mathematical prototyping.Predicting network modules of cell cycle regulators using relative protein abundance statistics.Parameter estimation for multistage clonal expansion models from cancer incidence data: A practical identifiability analysis.A Priori Identifiability Analysis of Cardiovascular Models.Hierarchical Bayesian methods for estimation of parameters in a longitudinal HIV dynamic system.Systems biology: parameter estimation for biochemical models.Structural identifiability of equilibrium ligand-binding parameters.Determination of parameter identifiability in nonlinear biophysical models: A Bayesian approach.Clinical Diagnostic Biomarkers from the Personalization of Computational Models of Cardiac Physiology.Evaluation of pharmacokinetic model designs for subcutaneous infusion of insulin aspart.A confidence building exercise in data and identifiability: Modeling cancer chemotherapy as a case study.Mathematical modelling of clostridial acetone-butanol-ethanol fermentation.A Systematic Approach to Determining the Identifiability of Multistage Carcinogenesis Models.Differential equation modeling of HIV viral fitness experiments: model identification, model selection, and multimodel inference.Modulating temporal control of NF-kappaB activation: implications for therapeutic and assay selection.An age-structured model of dendritic cell trafficking in the lung.Modeling Biphasic Environmental Decay of Pathogens and Implications for Risk Analysis.Identifiability Results for Several Classes of Linear Compartment Models.ESTIMATION OF CONSTANT AND TIME-VARYING DYNAMIC PARAMETERS OF HIV INFECTION IN A NONLINEAR DIFFERENTIAL EQUATION MODEL.Sieve Estimation of Constant and Time-Varying Coefficients in Nonlinear Ordinary Differential Equation Models by Considering Both Numerical Error and Measurement Error.Absorption kinetics are a key factor regulating postprandial protein metabolism in response to qualitative and quantitative variations in protein intake.Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them.Higher-order Lie symmetries in identifiability and predictability analysis of dynamic models.Characterisation of the iterative integral parameter identification method.Structural identifiability analysis of pharmacokinetic models using DAISY: semi-mechanistic gastric emptying models for 13C-octanoic acid.
P2860
Q24815027-1E465ABC-3E51-40E4-938C-93627C2AF364Q27339341-02EF644C-AEEA-4B45-BB8F-A1C44F891C38Q28482192-AD806A6B-5758-4E17-8252-C318C40C60A5Q28539835-EEE4D803-88CB-4E69-8BAC-6383B6B3A66FQ30498387-3B670910-3595-4A11-BC81-951B215D9E64Q33262500-DFBE98C5-FEC9-4355-9701-805A8594A0C9Q33441988-916EC188-0E8E-49BE-97FE-E6180B45D8B9Q33785915-041824E9-F315-43F2-90F5-EFDC06438930Q33891519-31819F33-5F6B-4B95-BA79-BB535BA65993Q33924794-4708C369-47A0-4F73-AA12-10B64630EB2DQ34104749-C998DA38-EC90-4D16-BD31-6E602878F7E7Q34250374-6B155309-416D-467D-B3E5-EFDB3BBA97CFQ34929874-6C9EAF7A-9DA6-4C3C-9B61-76F20E4552F8Q35085462-130E6E3D-21F5-4500-8874-A1B86D440143Q35117793-ECB00D33-B3F6-45E3-8566-2F313204E852Q36225467-0D68B3B9-13AF-4C63-917D-E5BC593EEE50Q36292279-5DC7ED91-9F6C-403E-B66B-09AE714EFBC9Q36306122-8297CFBF-171A-499A-8F7A-06AD0E7CF4F3Q36418270-718C0C54-9221-469C-B447-2511F7CCECEDQ36731743-403ADCD4-77C0-4502-AC13-855921DED322Q37392314-3EC1AD2F-129D-44BF-AF17-2BB978E17FE2Q37565668-777965DE-0B81-4279-BB60-9FC379896EE8Q37601662-617E2D03-8EB4-413C-AD41-CB1A6FAC96B2Q38591888-087C519F-F8CA-4A58-9173-C44283B079E3Q38613015-261AB7FC-4A6C-42BE-8F6D-3DFEAFCDC98AQ38667417-E283CC2A-4D5F-4655-8F30-486D6923A1D8Q39140219-CDA28BB4-9298-4FBA-918A-0B4B2E477CE9Q39406284-1B3A34EB-AF65-4473-B839-F77AEB15E8B8Q39621019-E2A53EA2-7CD9-48CD-84FF-312DB00A5C5AQ40012209-0CCF3B3C-3113-499C-87C6-9810CF0CC7A4Q40280731-9E9711CD-F7B1-4929-9AAD-891B835D9711Q40361903-B41CD4BC-48F5-4949-9F0E-4C23E0787334Q40576987-833AC82C-21BF-4EDA-8252-1DAFC3994C20Q41074766-DF54CAD9-5896-433F-8FE3-8C8103FD7F68Q41341797-26D9BC41-7DA2-4F94-B310-394B0BB0AB8AQ44409041-B8CD9949-92F5-4EA2-B1F0-4751EAC77520Q49796040-57CF9780-3C75-489A-A2E3-721CC6C63941Q50867266-C8FE408D-2E09-4ADE-9CF0-354A46B9576CQ51462728-8F545FCB-8DDA-4027-BA7F-04FC51C0F6C6Q51599567-2C5290A3-0985-48C9-AD2B-CA09E8F046CA
P2860
Global identifiability of nonlinear models of biological systems.
description
2001 nî lūn-bûn
@nan
2001 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Global identifiability of nonlinear models of biological systems.
@ast
Global identifiability of nonlinear models of biological systems.
@en
type
label
Global identifiability of nonlinear models of biological systems.
@ast
Global identifiability of nonlinear models of biological systems.
@en
prefLabel
Global identifiability of nonlinear models of biological systems.
@ast
Global identifiability of nonlinear models of biological systems.
@en
P2093
P356
P1476
Global identifiability of nonlinear models of biological systems
@en
P2093
P356
10.1109/10.900248
P577
2001-01-01T00:00:00Z