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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404302/ https://www.ncbi.nlm.nih.gov/pubmed/28450890 http://dx.doi.org/10.1186/s13040-017-0134-8 |