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MODELING AND OPTIMIZATION OF GENETIC SCREENS VIA RNA INTERFERENCE AND FACS

Published online by Cambridge University Press:  29 September 2014

Yair Goldberg
Affiliation:
Department of Statistics, University of Haifa, Israel
Yuval Nov
Affiliation:
Department of Statistics, University of Haifa, Israel

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.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2014 

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