EnsInfer: a simple ensemble approach to network inference outperforms any single method
Abstract This study evaluates both a variety of existing base causal inference methods and a variety of ensemble methods. We show that: (i) base network inference methods vary in their performance across different datasets, so a method that works poorly on one dataset may work well on another; (ii)...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BMC
2023-03-01
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| Serie: | BMC Bioinformatics |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s12859-023-05231-1 |
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