Approximations for expected generation number

Cole, D.J. and Ridout, M.S. and Morgan, B.J.T. and Byrne, L.J. and Tuite, M.F. (2007) Approximations for expected generation number. Biometrics, 63 (4). pp. 1023-1030. ISSN 0006-341X. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1111/j.1541-0420.2007.00780.x...

Abstract

A deterministic formula is commonly used to approximate the expected generation number of a population of growing cells. However, this can give misleading results because it does not allow for natural variation in the times that individual cells take to reproduce. Here we present more accurate approximations for both symmetric and asymmetric cell division. Based on the first two moments of the generation time distribution, these approximations are also robust. We illustrate the improved approximations using data that arise from monitoring individual yeast cells under a microscope and also demonstrate how the approximaitions can be used when such detailed data are not available.

Item Type: Article
Additional information: 0006-341X (Print) Journal Article Research Support, Non-U.S. Gov't
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Q Science > QR Microbiology
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science
Depositing User: Byron Morgan
Date Deposited: 14 May 2008 09:30
Last Modified: 14 Jan 2010 14:11
Resource URI: http://kar.kent.ac.uk/id/eprint/3175 (The current URI for this page, for reference purposes)
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