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Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery
BACKGROUND: A computational evolution system (CES) is a knowledge discovery engine that can identify subtle, synergistic relationships in large datasets. Pareto optimization allows CESs to balance accuracy with model complexity when evolving classifiers. Using Pareto optimization, a CES is able to i...
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| Publicado no: | BioData Min |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5404302/ https://ncbi.nlm.nih.gov/pubmed/28450890 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-017-0134-8 |
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