Feature selection for high-dimensional temporal data

BACKGROUND: Feature selection is commonly employed for identifying collectively-predictive biomarkers and biosignatures; it facilitates the construction of small statistical models that are easier to verify, visualize, and comprehend while providing insight to the human expert. In this work we exten...

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Detalles Bibliográficos
Autores principales: Tsagris, Michail, Lagani, Vincenzo, Tsamardinos, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5778658/
https://www.ncbi.nlm.nih.gov/pubmed/29357817
http://dx.doi.org/10.1186/s12859-018-2023-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5778658/
https://www.ncbi.nlm.nih.gov/pubmed/29357817
http://dx.doi.org/10.1186/s12859-018-2023-7

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