Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Related to Prostate Cancer Recurrence.

Zhao, Yize; Chung, Matthias; Johnson, Brent A; Moreno, Carlos S; Long, Qi

Zhao, Yize; Chung, Matthias; Johnson, Brent A; Moreno, Carlos S; Long, Qi.

Afiliación

Zhao Y; Postdoctoral Fellow, Statistical and Applied Mathematical Sciences Institute, Research Triangle Park, NC 27709.
Chung M; Assistant Professor, Department of Mathematics, Virginia Tech, Blacksburg, VA 24061.
Johnson BA; Associate Professor, Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY 14642.
Moreno CS; Associate Professor, Department of Pathology and Laboratory Medicine.
Long Q; Associate Professor, Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322.

J Am Stat Assoc ; 111(516): 1427-1439, 2016.

Article en En | MEDLINE | ID: mdl-28435175

Palabras clave

Hierarchical Feature selection; Imputation; Missing data; Regularization; Semiparametric AFT model

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Am Stat Assoc Año: 2016 Tipo del documento: Article Pais de publicación: Estados Unidos

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