Using LASSO regression to detect predictive aggregate effects in genetic studies

We use least absolute shrinkage and selection operator (LASSO) regression to select genetic markers and phenotypic features that are most informative with respect to a trait of interest. We compare several strategies for applying LASSO methods in risk prediction models, using the Genetic Analysis Wo...

Descripción completa

Detalles Bibliográficos
Autores principales: Fontanarosa, Joel B, Dai, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287908/
https://www.ncbi.nlm.nih.gov/pubmed/22373537
http://dx.doi.org/10.1186/1753-6561-5-S9-S69

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287908/
https://www.ncbi.nlm.nih.gov/pubmed/22373537
http://dx.doi.org/10.1186/1753-6561-5-S9-S69

Ejemplares similares