Literature DB >> 10616278

Progress of a half century in the study of the Luria-Delbrück distribution.

Q Zheng1.   

Abstract

The Luria-Delbrück mutation model has been mathematically formulated in a number of ways. This review article examines four most important formulations, focusing on important practical issues closely linked with the distribution of the number of mutants. These issues include the probability generating functions, moments (cumulants), computational methods and asymptotics. This review emphasizes basic principles which not only help to unify existing results but also allow for a few useful extensions. In addition, the review offers a historical perspective and some new explanations of divergent moments.

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Year:  1999        PMID: 10616278     DOI: 10.1016/s0025-5564(99)00045-0

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  37 in total

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6.  Theory of lethal mutagenesis for viruses.

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Journal:  J Virol       Date:  2007-01-03       Impact factor: 5.103

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Authors:  Cristian Tomasetti
Journal:  Bull Math Biol       Date:  2012-02-07       Impact factor: 1.758

8.  Large population solution of the stochastic Luria-Delbruck evolution model.

Authors:  David A Kessler; Herbert Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-01       Impact factor: 11.205

Review 9.  Modeling Tumor Clonal Evolution for Drug Combinations Design.

Authors:  Boyang Zhao; Michael T Hemann; Douglas A Lauffenburger
Journal:  Trends Cancer       Date:  2016-03

10.  Stochastic fate of p53-mutant epidermal progenitor cells is tilted toward proliferation by UV B during preneoplasia.

Authors:  Allon M Klein; Douglas E Brash; Philip H Jones; Benjamin D Simons
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-15       Impact factor: 11.205

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