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Mathematical Biosciences
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Mathematical Biosciences
Article . 2011 . Peer-reviewed
License: Elsevier TDM
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Modeling and estimating bacterial lag phase

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 2011 English Publisher:Elsevier BVJournal:Mathematical Biosciences, volume 234, pages 127-131 (issn: 0025-5564, Copyright policy )Funded by:NIH | Branching process models ...
Authors: Olofsson, Peter; Ma, Xin;

doi: 10.1016/j.mbs.2011.09.004

pmid: 21986239

pmc: PMC3225506

Modeling and estimating bacterial lag phase

Abstract

A branching process model of a bacterial population with initial lag phase is developed. Approximations are established in order to facilitate parameter estimation. The validity of approximations and estimation procedures is tested with simulated data.

Related Organizations
Keywords

Cell biology, Ecology, Bacteria, Applications of branching processes, Food Microbiology, Computer Simulation, Models, Biological, stochastic model, Applications of statistics to biology and medical sciences; meta analysis, branching process

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    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).
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
4
Average
Average
Average
bronze