High-Dimensional Additive Hazards Regression for Oral Squamous Cell Carcinoma Using Microarray Data: A Comparative Study

Microarray technology results in high-dimensional and low-sample size data sets. Therefore, fitting sparse models is substantial because only a small number of influential genes can reliably be identified. A number of variable selection approaches have been proposed for high-dimensional time-to-even...

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Detalles Bibliográficos
Autores principales: Hamidi, Omid, Tapak, Lily, Jafarzadeh Kohneloo, Aarefeh, Sadeghifar, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055233/
https://www.ncbi.nlm.nih.gov/pubmed/24982876
http://dx.doi.org/10.1155/2014/393280

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055233/
https://www.ncbi.nlm.nih.gov/pubmed/24982876
http://dx.doi.org/10.1155/2014/393280

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