Cell Fate Decision as High-Dimensional Critical State Transition. - Wikidata - awgldk - TriplyDB

Cell Fate Decision as High-Dimensional Critical State Transition.

Cell Fate Decision as High-Dimensional Critical State Transition.

http://www.wikidata.org/entity/Q36233874

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Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome Single-Cell-Based Analysis Highlights a Surge in Cell-to-Cell Molecular Variability Preceding Irreversible Commitment in a Differentiation Process.Cell population structure prior to bifurcation predicts efficiency of directed differentiation in human induced pluripotent cells Integrated time-lapse and single-cell transcription studies highlight the variable and dynamic nature of human hematopoietic cell fate commitment.Quantifying critical states of complex diseases using single-sample dynamic network biomarkers.Uncovering Gene Regulatory Networks Controlling Plant Cell Differentiation.Stem Cell Differentiation as a Non-Markov Stochastic Process.Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells.Inferring gene regulatory networks from single-cell data: a mechanistic approach.Single-cell analysis resolves the cell state transition and signaling dynamics associated with melanoma drug-induced resistance.Individual-specific edge-network analysis for disease prediction.The emerging landscape of in vitro and in vivo epigenetic allelic effects.Detecting the tipping points in a three-state model of complex diseases by temporal differential networks.Gravity Constraints Drive Biological Systems Toward Specific Organization Patterns: Commitment of cell specification is constrained by physical cues.Statistical and integrative system-level analysis of DNA methylation data.Systems Biology Approach and Mathematical Modeling for Analyzing Phase-Space Switch During Epithelial-Mesenchymal Transition.DNA helix: the importance of being AT-rich.Automated cell cycle and cell size measurements for single-cell gene expression studies.Conceptual Challenges of the Systemic Approach in Understanding Cell Differentiation.Reprogramming cell fate with artificial transcription factors.Criticality in cell differentiation.Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma.Taking Systems Medicine to Heart.Aging in a Relativistic Biological Space-Time.Network-Based Predictors of Progression in Head and Neck Squamous Cell Carcinoma.Correcting the Mean-Variance Dependency for Differential Variability Testing Using Single-Cell RNA Sequencing Data Transition state characteristics during cell differentiation Bridging the Data Gap From Toxicity Testing to Chemical Safety Assessment Through Computational Modeling Identification of Biologically Essential Nodes via Determinative Power in Logical Models of Cellular Processes Determining Relative Dynamic Stability of Cell States Using Boolean Network Model Single cell RNA-seq and ATAC-seq analysis of cardiac progenitor cell transition states and lineage settlement

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Cell Fate Decision as High-Dimensional Critical State Transition.

http://www.wikidata.org/entity/Q36233874

description

2016 nî lūn-bûn

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

2016年论文

@zh

2016年论文

@zh-cn

name

Cell Fate Decision as High-Dimensional Critical State Transition.

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Cell Fate Decision as High-Dimensional Critical State Transition.

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type

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Cell Fate Decision as High-Dimensional Critical State Transition.

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Cell Fate Decision as High-Dimensional Critical State Transition.

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Cell Fate Decision as High-Dimensional Critical State Transition.

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Cell Fate Decision as High-Dimensional Critical State Transition.

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JOURNAL.PBIO.2000640

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Cell Fate Decision as High-Dimensional Critical State Transition.

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P2093

Alessandro Giuliani

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

Hannah Chang

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

Ivan G Castaño

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

Joseph Zhou

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

Kalliopi Trachana

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Mitra Mojtahedi

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Rebecca Y Y Leong-Quong

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Sui Huang

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

P2860

Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression.

Single-cell gene expression profiling and cell state dynamics: collecting data, correlating data points and connecting the dots

The ground state of embryonic stem cell self-renewal

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma

A computational model for understanding stem cell, trophectoderm and endoderm lineage determination.

A continuum of cell states spans pluripotency and lineage commitment in human embryonic stem cells.

Cell lineage determination in state space: a systems view brings flexibility to dogmatic canonical rules.

Quantitative assessment of single-cell RNA-sequencing methods.

Stem cells, pre-progenitor cells and lineage-committed cells: are our dogmas correct?

The potential landscape of genetic circuits imposes the arrow of time in stem cell differentiation

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e2000640

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scholarly article

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10.1371/JOURNAL.PBIO.2000640

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12

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Alexander Skupin

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2016-12-27T00:00:00Z

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28027308

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5189937

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