about
Modeling the epigenetic attractors landscape: toward a post-genomic mechanistic understanding of developmentMarkov State Models of gene regulatory networksEngineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination.Quantifying the underlying landscape and paths of cancerLandscape and flux reveal a new global view and physical quantification of mammalian cell cycleModeling putative therapeutic implications of exosome exchange between tumor and immune cells.Topology, structures, and energy landscapes of human chromosomes.Distinguishing the rates of gene activation from phenotypic variationsDichotomous noise models of gene switches.Critical Points in Tumorigenesis: A Carcinogen-Initiated Phase Transition Analyzed via Single-Cell Proteomics.Pluralistic and stochastic gene regulation: examples, models and consistent theory.Challenges in structural approaches to cell modeling.Genomic Energy Landscapes.A deterministic method for estimating free energy genetic network landscapes with applications to cell commitment and reprogramming paths.Effects of Collective Histone State Dynamics on Epigenetic Landscape and Kinetics of Cell ReprogrammingDNA-Binding Kinetics Determines the Mechanism of Noise-Induced Switching in Gene NetworksInferring gene regulatory networks from single-cell data: a mechanistic approach.Landscape of gene networks for random parameter perturbation.Identifying the optimal anticancer targets from the landscape of a cancer-immunity interaction network.Uncovering the underlying mechanism of cancer tumorigenesis and development under an immune microenvironment from global quantification of the landscape.A stochastic and dynamical view of pluripotency in mouse embryonic stem cells.Fock space, symbolic algebra, and analytical solutions for small stochastic systems.Multiple coupled landscapes and non-adiabatic dynamics with applications to self-activating genes.Shape Transitions and Chiral Symmetry Breaking in the Energy Landscape of the Mitotic Chromosome.Construction of an effective landscape for multistate genetic switches.Landscape reveals critical network structures for sharpening gene expression boundaries.A landscape view on the interplay between EMT and cancer metastasisLandscape and flux theory of non-equilibrium dynamical systems with application to biologyTransition state characteristics during cell differentiationRare-event sampling of epigenetic landscapes and phenotype transitions
P2860
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P2860
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Stem cell differentiation as a many-body problem
@ast
Stem cell differentiation as a many-body problem
@en
type
label
Stem cell differentiation as a many-body problem
@ast
Stem cell differentiation as a many-body problem
@en
prefLabel
Stem cell differentiation as a many-body problem
@ast
Stem cell differentiation as a many-body problem
@en
P2860
P356
P1476
Stem cell differentiation as a many-body problem
@en
P2093
P2860
P304
10185-10190
P356
10.1073/PNAS.1408561111
P407
P577
2014-06-19T00:00:00Z