Epigenetic state network approach for describing cell phenotypic transitions. - Wikidata - wikimedia - TriplyDB

Epigenetic state network approach for describing cell phenotypic transitions.

Epigenetic state network approach for describing cell phenotypic transitions.

http://www.wikidata.org/entity/Q37718336

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Intrinsic Noise Profoundly Alters the Dynamics and Steady State of Morphogen-Controlled Bistable Genetic Switches Markov State Models of gene regulatory networks Reshaping the epigenetic landscape during early flower development: induction of attractor transitions by relative differences in gene decay rates.Quantifying the underlying landscape and paths of cancer Systematic reverse engineering of network topologies: a case study of resettable bistable cellular responses.A geometrical approach to control and controllability of nonlinear dynamical networks.Decoding early myelopoiesis from dynamics of core endogenous network.Network biology approach to epithelial-mesenchymal transition in cancer metastasis: three stage theory.Effects of Collective Histone State Dynamics on Epigenetic Landscape and Kinetics of Cell Reprogramming DNA-Binding Kinetics Determines the Mechanism of Noise-Induced Switching in Gene Networks Computational cell biology: past, present and future.Landscape of gene networks for random parameter perturbation.A stochastic and dynamical view of pluripotency in mouse embryonic stem cells.Landscape and flux theory of non-equilibrium dynamical systems with application to biology Rare-event sampling of epigenetic landscapes and phenotype transitions

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Epigenetic state network approach for describing cell phenotypic transitions.

http://www.wikidata.org/entity/Q37718336

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on June 2014

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Epigenetic state network approach for describing cell phenotypic transitions.

@en

Epigenetic state network approach for describing cell phenotypic transitions.

@nl

type

label

Epigenetic state network approach for describing cell phenotypic transitions.

@en

Epigenetic state network approach for describing cell phenotypic transitions.

@nl

prefLabel

Epigenetic state network approach for describing cell phenotypic transitions.

@en

Epigenetic state network approach for describing cell phenotypic transitions.

@nl

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Interface Focus

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Epigenetic state network approach for describing cell phenotypic transitions.

@en

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Hang Zhang

http://www.w3.org/2001/XMLSchema#string

Jianhua Xing

http://www.w3.org/2001/XMLSchema#string

Ping Wang

http://www.w3.org/2001/XMLSchema#string

Xiao-Jun Tian

http://www.w3.org/2001/XMLSchema#string

Zhanghan Wu

http://www.w3.org/2001/XMLSchema#string

P2860

Nature, nurture, or chance: stochastic gene expression and its consequences

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Coupled reversible and irreversible bistable switches underlying TGFβ-induced epithelial to mesenchymal transition

Promotion of reprogramming to ground state pluripotency by signal inhibition

Direct reprogramming of fibroblasts into functional cardiomyocytes by defined factors.

The energy landscapes and motions of proteins

Systematic search for recipes to generate induced pluripotent stem cells

Potential and flux landscapes quantify the stability and robustness of budding yeast cell cycle network

Conversion of mouse fibroblasts into cardiomyocytes using a direct reprogramming strategy.

Dynamic modelling of oestrogen signalling and cell fate in breast cancer cells

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20130068

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scholarly article

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10.1098/RSFS.2013.0068

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3

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2014-06-01T00:00:00Z

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230883249

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24904734

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3996583

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