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.
|Number of pages||15|
|Journal||Probability in the Engineering and Informational Sciences|
|State||Published - 29 Sep 2014|
Bibliographical notePublisher 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