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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Detalles Bibliográficos
Autores principales: Crabtree, Nathaniel M., Moore, Jason H., Bowyer, John F., George, Nysia I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology
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

Internet

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

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