Group testing via hypergraph factorization applied to COVID-19
oleh: David Hong, Rounak Dey, Xihong Lin, Brian Cleary, Edgar Dobriban
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-04-01 |
Deskripsi
This paper proposes HYPER, a method for screening more people using fewer tests by testing pools formed via hypergraph factorization. HYPER is not only efficient but is also simple to implement, flexible, and has maximally balanced pools.