Single-Cell-Based Analysis Highlights a Surge in Cell-to-Cell Molecular Variability Preceding Irreversible Commitment in a Differentiation Process.
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Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptomeIntegrated 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.Symmetry breaking in development and stochastic gene expression.Uncovering Gene Regulatory Networks Controlling Plant Cell Differentiation.Generation of Single-Cell Transcript Variability by Repression.Single-Cell Landscape of Transcriptional Heterogeneity and Cell Fate Decisions during Mouse Early Gastrulation.Dynamic transcriptional signature and cell fate analysis reveals plasticity of individual neural plate border cells.Stem Cell Differentiation as a Non-Markov Stochastic Process.Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells.SINCERITIES: Inferring gene regulatory networks from time-stamped single cell transcriptional expression profiles.Low-Grade Dysplastic Nodules Revealed as the Tipping Point during Multistep Hepatocarcinogenesis by Dynamic Network Biomarkers.Inferring gene regulatory networks from single-cell data: a mechanistic approach.Individual-specific edge-network analysis for disease prediction.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.Cell lineage specification at single cell resolution.Automated cell cycle and cell size measurements for single-cell gene expression studies.Conceptual Challenges of the Systemic Approach in Understanding Cell Differentiation.Criticality in cell differentiation.Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma.Correcting the Mean-Variance Dependency for Differential Variability Testing Using Single-Cell RNA Sequencing DataTransition state characteristics during cell differentiationMultiple Myeloma Exemplifies a Model of Cancer Based on Tissue Disruption as the Initiator EventHaematopoietic stem cells: entropic landscapes of differentiation
P2860
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P2860
Single-Cell-Based Analysis Highlights a Surge in Cell-to-Cell Molecular Variability Preceding Irreversible Commitment in a Differentiation Process.
description
2016 nî lūn-bûn
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2016年の論文
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2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
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2016年论文
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name
Single-Cell-Based Analysis Hig ...... in a Differentiation Process.
@ast
Single-Cell-Based Analysis Hig ...... in a Differentiation Process.
@en
type
label
Single-Cell-Based Analysis Hig ...... in a Differentiation Process.
@ast
Single-Cell-Based Analysis Hig ...... in a Differentiation Process.
@en
prefLabel
Single-Cell-Based Analysis Hig ...... in a Differentiation Process.
@ast
Single-Cell-Based Analysis Hig ...... in a Differentiation Process.
@en
P2093
P2860
P50
P1433
P1476
Single-Cell-Based Analysis Hig ...... in a Differentiation Process.
@en
P2093
Anissa Guillemin
Elodie Vallin
Jean-Jacques Kupiec
Jérémie Cosette
Loïs Boullu
Nan Papili Gao
Ophélie Arnaud
Sandrine Gonin-Giraud
Thibault Espinasse
Valérie Morin
P2860
P304
P356
10.1371/JOURNAL.PBIO.1002585
P407
P577
2016-12-27T00:00:00Z