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Statistical Mechanics of Pluripotency

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 2013 United Kingdom English Publisher:Elsevier BVJournal:Cell, volume 154, pages 484-489 (issn: 0092-8674, Copyright policy )
Authors: MacArthur, Ben D.; Lemischka, Ihor R.;

doi: 10.1016/j.cell.2013.07.024

pmid: 23911316

Statistical Mechanics of Pluripotency

Abstract

Recent reports using single-cell profiling have indicated a remarkably dynamic view of pluripotent stem cell identity. Here, we argue that the pluripotent state is not well defined at the single-cell level but rather is a statistical property of stem cell populations, amenable to analysis using the tools of statistical mechanics and information theory.

Country
United Kingdom
Related Organizations
Keywords

Pluripotent Stem Cells, Mice, Biochemistry, Genetics and Molecular Biology(all), Statistics as Topic, 610, 500, Animals, Gene Expression

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 166
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
166
Top 1%
Top 10%
Top 1%
hybrid