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A Neutrophil Phenotype Model for Extracorporeal Treatment of SepsisSBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and toolsA Network-Based Data Integration Approach to Support Drug Repurposing and Multi-Target Therapies in Triple Negative Breast CancerCellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms.Realistic control of network dynamics.Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines.Ensemble models of neutrophil trafficking in severe sepsis.Bayesian model selection validates a biokinetic model for zirconium processing in humans.Logic modeling and the ridiculome under the rug.Reaction-contingency based bipartite Boolean modelling.Jimena: efficient computing and system state identification for genetic regulatory networks.A parallel attractor-finding algorithm based on Boolean satisfiability for genetic regulatory networks.Multiple model-informed open-loop control of uncertain intracellular signaling dynamicsCell fate reprogramming by control of intracellular network dynamics.Disentangling the Complexity of HGF Signaling by Combining Qualitative and Quantitative Modeling.A Semiquantitative Framework for Gene Regulatory Networks: Increasing the Time and Quantitative Resolution of Boolean Networks.Logical-continuous modelling of post-translationally regulated bistability of curli fiber expression in Escherichia coli.Stochastic simulation of Boolean rxncon models: towards quantitative analysis of large signaling networks.A Dynamic Gene Regulatory Network Model That Recovers the Cyclic Behavior of Arabidopsis thaliana Cell Cycle.SBMLsqueezer 2: context-sensitive creation of kinetic equations in biochemical networks.Endogenous molecular network reveals two mechanisms of heterogeneity within gastric cancerReverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approachModelling with ANIMO: between fuzzy logic and differential equations.An integrative model links multiple inputs and signaling pathways to the onset of DNA synthesis in hepatocytes.Simulation of the dynamics of primary immunodeficiencies in CD4+ T-cells.Boolean model of yeast apoptosis as a tool to study yeast and human apoptotic regulationsA geometrical approach to control and controllability of nonlinear dynamical networks.A Six-Stage Workflow for Robust Application of Systems Pharmacology.Modeling approaches for qualitative and semi-quantitative analysis of cellular signaling networks.Boolean modeling: a logic-based dynamic approach for understanding signaling and regulatory networks and for making useful predictions.A parallel metaheuristic for large mixed-integer dynamic optimization problems, with applications in computational biology.Systems pharmacology and enhanced pharmacodynamic models for understanding antibody-based drug action and toxicity.Understanding the mTOR signaling pathway via mathematical modeling.Exploring Wound-Healing Genomic Machinery with a Network-Based Approach.Convergence behaviour and Control in Non-Linear Biological Networks.Large-scale network models of IL-1 and IL-6 signalling and their hepatocellular specification.Boolean network modeling in systems pharmacology.Network-Based Analysis of Bortezomib Pharmacodynamic Heterogeneity in Multiple Myeloma Cells.Current trends in modeling host-pathogen interactionsSimulation of the Dynamics of Primary Immunodeficiencies in B Cells
P2860
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P2860
description
2010 nî lūn-bûn
@nan
2010 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Odefy--from discrete to continuous models.
@ast
Odefy--from discrete to continuous models.
@en
Odefy--from discrete to continuous models.
@nl
type
label
Odefy--from discrete to continuous models.
@ast
Odefy--from discrete to continuous models.
@en
Odefy--from discrete to continuous models.
@nl
prefLabel
Odefy--from discrete to continuous models.
@ast
Odefy--from discrete to continuous models.
@en
Odefy--from discrete to continuous models.
@nl
P2860
P356
P1433
P1476
Odefy--from discrete to continuous models
@en
P2093
Dominik M Wittmann
Jan Krumsiek
P2860
P2888
P356
10.1186/1471-2105-11-233
P577
2010-05-07T00:00:00Z
P5875
P6179
1016309937