MODELING AND OPTIMIZATION OF GENETIC SCREENS VIA RNA INTERFERENCE AND FACS. Issue 1 (29th September 2014)

• Record Type: Journal Article
• Authors: Goldberg, Yair; Nov, Yuval
• Is Part Of: Probability in the engineering and informational sciences. Volume 29:Issue 1(2015)
• Page Start: 131
• Page End: 145
• Publication Date: 2014-09-29
• Subjects: Probabilities -- Periodicals; Engineering -- Statistical methods -- Periodicals; Information science -- Statistical methods -- Periodicals; 519.202462
• DOI: 10.1017/S0269964814000254
• Languages: English
• ISSNs: 0269-9648

Abstract

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.