Abstract
We study mathematically a method for discovering which gene is related to a cell characteristic (phenotype) of interest. The method is based on RNA interference - a molecular process for gene deactivation - and on coupling the phenotype with cell fluorescence. A small number of candidate genes are thus isolated, and then tested individually. We model probabilistically this process, prove a limit theorem for its outcome, and derive operational guidelines for maximizing the probability of successful gene discovery.
Original language | English |
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Pages (from-to) | 131-145 |
Number of pages | 15 |
Journal | Probability in the Engineering and Informational Sciences |
Volume | 29 |
Issue number | 1 |
DOIs | |
State | Published - 29 Sep 2014 |
Bibliographical note
Publisher Copyright:Copyright © 2014 Cambridge University Press.
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Management Science and Operations Research
- Industrial and Manufacturing Engineering