Mathematical modeling as a tool for investigating cell cycle control networks.
about
Introductory review of computational cell cycle modelingDynamic epitope expression from static cytometry data: principles and reproducibilityA signal transduction score flow algorithm for cyclic cellular pathway analysis, which combines transcriptome and ChIP-seq data.Boolean network inference from time series data incorporating prior biological knowledge.Model aggregation: a building-block approach to creating large macromolecular regulatory networks.A general framework for modeling growth and division of mammalian cellsInteroperability of time series cytometric data: a cross platform approach for modeling tumor heterogeneity.Punctuated cyclin synthesis drives early embryonic cell cycle oscillations.Modelling cellular signalling systems.Using mathematical models to understand metabolism, genes, and diseaseBridging the gap between in vitro and in vivo: Dose and schedule predictions for the ATR inhibitor AZD6738Nonlinear dependencies of biochemical reactions for context-specific signaling dynamics.Model composition for macromolecular regulatory networksDecoding the quantitative nature of TGF-beta/Smad signaling.Computational systems biology of the cell cycle.Multiscale cancer modelingMapping the architecture of the HIV-1 Tat circuit: A decision-making circuit that lacks bistability and exploits stochastic noise.Mathematical formalisms based on approximated kinetic representations for modeling genetic and metabolic pathways.Effect of localization, length and orientation of chondrocytic primary cilium on murine growth plate organization.New insights into mammalian signaling pathways using microfluidic pulsatile inputs and mathematical modeling.Deterministic and stochastic models of genetic regulatory networks.Mathematical modeling of fission yeast Schizosaccharomyces pombe cell cycle: exploring the role of multiple phosphatases.System modeling reveals the molecular mechanisms of HSC cell cycle alteration mediated by Maff and Egr3 under leukemia.A flexible and qualitatively stable model for cell cycle dynamics including DNA damage effects.Computational modeling of the cell cycle.Strategy revealing phenotypic differences among synthetic oscillator designs.Diagrams as locality aids for explanation and model construction in cell biology
P2860
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P2860
Mathematical modeling as a tool for investigating cell cycle control networks.
description
2007 nî lūn-bûn
@nan
2007年の論文
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2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
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2007年论文
@zh-cn
name
Mathematical modeling as a tool for investigating cell cycle control networks.
@ast
Mathematical modeling as a tool for investigating cell cycle control networks.
@en
type
label
Mathematical modeling as a tool for investigating cell cycle control networks.
@ast
Mathematical modeling as a tool for investigating cell cycle control networks.
@en
prefLabel
Mathematical modeling as a tool for investigating cell cycle control networks.
@ast
Mathematical modeling as a tool for investigating cell cycle control networks.
@en
P2860
P1433
P1476
Mathematical modeling as a tool for investigating cell cycle control networks.
@en
P2093
Jill C Sible
P2860
P304
P356
10.1016/J.YMETH.2006.08.003
P50
P577
2007-02-01T00:00:00Z