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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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Hlavní autoři: Hamidi, Omid, Tapak, Lily, Jafarzadeh Kohneloo, Aarefeh, Sadeghifar, Majid
Médium: Artigo
Jazyk:Inglês
Vydáno: Hindawi Publishing Corporation 2014
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4055233/
https://ncbi.nlm.nih.gov/pubmed/24982876
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/393280
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