A composite model for subgroup identification and prediction via bicluster analysis.

Chen, Hung-Chia; Zou, Wen; Lu, Tzu-Pin; Chen, James J

Chen, Hung-Chia; Zou, Wen; Lu, Tzu-Pin; Chen, James J.

Afiliación

Chen HC; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas, United States of America; Graduate Institute of Biostatistics and Biostatistics Center, China Medical University, Taichung, Taiwan.
Zou W; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas, United States of America.
Lu TP; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas, United States of America; Department of Public Health, Graduate Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Tai
Chen JJ; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas, United States of America; Graduate Institute of Biostatistics and Biostatistics Center, China Medical University, Taichung, Taiwan.

PLoS One ; 9(10): e111318, 2014.

Article en En | MEDLINE | ID: mdl-25347824

Asunto(s)

Algoritmos; Biomarcadores de Tumor/clasificación; Conjuntos de Datos como Asunto; Análisis por Conglomerados; Humanos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Biomarcadores de Tumor / Conjuntos de Datos como Asunto Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2014 Tipo del documento: Article País de afiliación: Taiwán

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