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 |
|---|---|
| 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 - 2015 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
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