Progress of a half century in the study of the Luria–Delbrück distribution
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Luria, 1943, Mutations of bacteria from virus sensitivity to virus resistance, Genetics, 28, 491, 10.1093/genetics/28.6.491
Li, 1985, A deterministic approach for the estimation of mutation rates in cultured mammalian cells, Mutation Res., 149, 127, 10.1016/0027-5107(85)90017-X
Kendal, 1988, Pitfalls and practice of Luria–Delbrück fluctuation analysis: a review, Cancer Res., 48, 1060
Lea, 1949, The distribution of the numbers of mutants in bacterial populations, J. Genetics, 49, 264, 10.1007/BF02986080
P. Armitage, The statistical theory of bacterial populations subject to mutation, J. Royal Statist. Soc. B 14 (1952) 1 (with discussion on pp. 34–40)
Kendall, 1952, On the choice of a mathematical model to represent normal bacterial growth, J. Royal Statist. Soci. B, 14, 41
Kendall, 1952, Les processus stochastique de croissance en biologie, Ann. Inst. Henri Poincaré, 13, 43
Mandelbrot, 1974, A population birth-and-mutation process I: Explicit distributions for the number of mutants in an old culture of bacteria, J. Appl. Prob., 11, 437, 10.2307/3212688
Bartlett, 1955
Bartlett, 1978
Bailey, 1964
Crump, 1974, Mathematical models for estimating mutation rates in cell populations, Biometrika, 61, 237, 10.1093/biomet/61.2.237
Koch, 1982, Mutation and growth rates from Luria–Delbrück fluctuation tests, Mutation Res., 95, 129, 10.1016/0027-5107(82)90252-4
Lenski, 1989, Mutation and selection in bacterial populations: alternatives to the hypothesis of directed mutation, Proc. Nat. Acad. Sci. USA, 86, 2775, 10.1073/pnas.86.8.2775
Stewart, 1990, Fluctuation analysis: the probability distribution of the number of mutants under different conditions, Genetics, 124, 175, 10.1093/genetics/124.1.175
Ma, 1992, Analysis of the Luria–Delbrück distribution using discrete convolution powers, J. Appl. Prob., 29, 255, 10.2307/3214564
Sarkar, 1992, On fluctuation analysis: a new, simple and efficient method for computing the expected number of mutants, Genetica, 85, 173, 10.1007/BF00120324
Goldie, 1995, Asymptotics of the Luria–Delbrück distribution, J. Appl. Prob., 32, 840, 10.2307/3215135
Prodinger, 1996, Asymptotics of the Luria–Delbrück distribution via singularity analysis, J. Appl. Prob., 33, 282, 10.2307/3215284
Kendall, 1960, Birth-and-death process and the theory of carcinogenesis, Biometrika, 47, 13, 10.1093/biomet/47.1-2.13
Snyder, 1991
Chung, 1974
Zheng, 1995, On a compartmental analysis result, Math. Biosci., 130, 203, 10.1016/0025-5564(95)00008-3
Johnson, 1992
S. Wolfram, The Mathematica Book, fourth ed., Copublished by Wolfram Media, Champaign, IL and Cambridge University, Cambridge, New York, 1999
Armitage, 1953, Statistical concepts in the theory of bacterial mutation, J. Hygiene, 51, 162, 10.1017/S0022172400015606
J.J. Hunter, Mathematical Techniques of Applied Probability, Vol. 1, Discrete Time Models: Basic Theory, Academic Press, New York, 1983
N.N. Lebedev, Special Functions and Their Applications, (revised English editon, translated and edited by R.A. Silverman), Dover, New York, 1972
Kendall, 1953, Stochastic processes and the growth of bacterial colonies, Symposia of the Society for Experimental Biology, 7, 55
Zheng, 1997, A unified approach to a class of stochastic carcinogenesis models, Risk Anal., 17, 617, 10.1111/j.1539-6924.1997.tb00902.x
Tan, 1982, On distribution theories for the number of mutants in cell populations, SIAM J. Appl. Math., 42, 719, 10.1137/0142050
Tlsty, 1989, Differences in the rates of gene amplification in nontumorigenic and tumorigenic cell lines as measured by Luria–Delbrück fluctuation analysis, Proc. Nat. Acad. Sci. USA, 86, 9441, 10.1073/pnas.86.23.9441