We study mathematically a method for discovering which gene is related to a cell phenotype of interest. The method is based on RNA interference -- a molecular process for gene deactivation -- and on coupling the phenotype with fluorescence in a FACS machine. 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.
@article{arxiv.1402.0172,
title = {Modeling and Optimization of Genetic Screens via RNA Interference and FACS},
author = {Yair Goldberg and Yuval Nov},
journal= {arXiv preprint arXiv:1402.0172},
year = {2019}
}