A machine learning pipeline for quantitative phenotype prediction from genotype data

BACKGROUND: Quantitative phenotypes emerge everywhere in systems biology and biomedicine due to a direct interest for quantitative traits, or to high individual variability that makes hard or impossible to classify samples into distinct categories, often the case with complex common diseases. Machin...

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Detalles Bibliográficos
Autores principales: Guzzetta, Giorgio, Jurman, Giuseppe, Furlanello, Cesare
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2966290/
https://www.ncbi.nlm.nih.gov/pubmed/21034428
http://dx.doi.org/10.1186/1471-2105-11-S8-S3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2966290/
https://www.ncbi.nlm.nih.gov/pubmed/21034428
http://dx.doi.org/10.1186/1471-2105-11-S8-S3

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