Diversity and plasticity of Th cell types predicted from regulatory network modelling.
about
Logical Modeling and Dynamical Analysis of Cellular NetworksComputational Modeling, Formal Analysis, and Tools for Systems BiologySBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and toolsIntegrating signals from the T-cell receptor and the interleukin-2 receptorMeeting report from the fourth meeting of the Computational Modeling in Biology Network (COMBINE)Analyzing Th17 cell differentiation dynamics using a novel integrative modeling framework for time-course RNA sequencing data.Combining network modeling and gene expression microarray analysis to explore the dynamics of Th1 and Th2 cell regulation.A mathematical model for the reciprocal differentiation of T helper 17 cells and induced regulatory T cellsModeling biology spanning different scales: an open challenge.Information routing driven by background chatter in a signaling networkConstruction of large signaling pathways using an adaptive perturbation approach with phosphoproteomic data.A simple theoretical framework for understanding heterogeneous differentiation of CD4+ T cells.Computational modeling of heterogeneity and function of CD4+ T cellsMulti-level modeling of light-induced stomatal opening offers new insights into its regulation by drought.Design, Assessment, and in vivo Evaluation of a Computational Model Illustrating the Role of CAV1 in CD4(+) T-lymphocytes.Model checking to assess T-helper cell plasticity.Sensitivity analysis of biological Boolean networks using information fusion based on nonadditive set functionsIntegrating interactive computational modeling in biology curricula.Cell fate reprogramming by control of intracellular network dynamics.A Minimal Regulatory Network of Extrinsic and Intrinsic Factors Recovers Observed Patterns of CD4+ T Cell Differentiation and Plasticity.A Mathematical Framework for Understanding Four-Dimensional Heterogeneous Differentiation of CD4+ T CellsNormal vs. Malignant hematopoiesis: the complexity of acute leukemia through systems biology.Irreversibility of T-Cell Specification: Insights from Computational Modelling of a Minimal Network Architecture.Network modelling reveals the mechanism underlying colitis-associated colon cancer and identifies novel combinatorial anti-cancer targets.Cellular and population plasticity of helper CD4(+) T cell responses.Modeling approaches for qualitative and semi-quantitative analysis of cellular signaling networks.Modeling the T cell immune response: a fascinating challenge.Systems Perturbation Analysis of a Large-Scale Signal Transduction Model Reveals Potentially Influential Candidates for Cancer Therapeutics.Edge-based sensitivity analysis of signaling networks by using Boolean dynamics.Decoding early myelopoiesis from dynamics of core endogenous network.The T helper type 17/regulatory T cell paradigm in pregnancy.Demystifying the cytokine network: Mathematical models point the way.Solving Immunology?Clonal selection versus clonal cooperation: the integrated perception of immune objects.Compensatory interactions to stabilize multiple steady states or mitigate the effects of multiple deregulations in biological networks.The duration of T cell stimulation is a critical determinant of cell fate and plasticity.Dynamical modeling and analysis of large cellular regulatory networks.A virtual culture of CD4+ T lymphocytes.Logical modelling of regulatory networks, methods and applications.Remarks on the respective roles of logical parameters and time delays in asynchronous logic: an homage to El Houssine Snoussi.
P2860
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P2860
Diversity and plasticity of Th cell types predicted from regulatory network modelling.
description
2010 nî lūn-bûn
@nan
2010 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի սեպտեմբերին 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
Diversity and plasticity of Th cell types predicted from regulatory network modelling.
@ast
Diversity and plasticity of Th cell types predicted from regulatory network modelling.
@en
type
label
Diversity and plasticity of Th cell types predicted from regulatory network modelling.
@ast
Diversity and plasticity of Th cell types predicted from regulatory network modelling.
@en
prefLabel
Diversity and plasticity of Th cell types predicted from regulatory network modelling.
@ast
Diversity and plasticity of Th cell types predicted from regulatory network modelling.
@en
P2860
P50
P1476
Diversity and plasticity of Th cell types predicted from regulatory network modelling.
@en
P2860
P304
P356
10.1371/JOURNAL.PCBI.1000912
P577
2010-09-02T00:00:00Z