Programming discrete distributions with chemical reaction networks
<p>We explore the range of probabilistic behaviours that can be engineered with Chemical Reaction Networks (CRNs). We give methods to “program” CRNs so that their steady state is chosen from some desired target distribution that has finite support in N<sup>m</sup>, with m ≥ 1. More...
| Principais autores: | , , |
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| Formato: | Journal article |
| Publicado em: |
Springer Netherlands
2017
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