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A powerful score-based test statistic for detecting gene-gene co-association.
Xu, Jing; Yuan, Zhongshang; Ji, Jiadong; Zhang, Xiaoshuai; Li, Hongkai; Wu, Xuesen; Xue, Fuzhong; Liu, Yanxun.
Afiliación
  • Xu J; Department of Biostatistics, School of Public Health, Shandong University, 44 Wen Hua Xi Road, PO Box 100, Jinan, 250012, China. xujinghello@163.com.
  • Yuan Z; Department of Biostatistics, School of Public Health, Shandong University, 44 Wen Hua Xi Road, PO Box 100, Jinan, 250012, China. yuanzhongshang@sdu.edu.cn.
  • Ji J; Department of Biostatistics, School of Public Health, Shandong University, 44 Wen Hua Xi Road, PO Box 100, Jinan, 250012, China. jjdjijiadong@163.com.
  • Zhang X; Department of Biostatistics, School of Public Health, Shandong University, 44 Wen Hua Xi Road, PO Box 100, Jinan, 250012, China. zhxiaoshuai@hotmail.com.
  • Li H; Department of Biostatistics, School of Public Health, Shandong University, 44 Wen Hua Xi Road, PO Box 100, Jinan, 250012, China. lihongkaiyouxiang@163.com.
  • Wu X; Department of Epidemiology and Statistics, Bengbu Medical College at Bengbu, Anhui, 233030, China. xuesenwu@163.com.
  • Xue F; Department of Biostatistics, School of Public Health, Shandong University, 44 Wen Hua Xi Road, PO Box 100, Jinan, 250012, China. xuefzh@sdu.edu.cn.
  • Liu Y; Department of Biostatistics, School of Public Health, Shandong University, 44 Wen Hua Xi Road, PO Box 100, Jinan, 250012, China. liu-yx@sdu.edu.cn.
BMC Genet ; 17: 31, 2016 Jan 29.
Article en En | MEDLINE | ID: mdl-26822525
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Modelos Estadísticos / Redes Reguladoras de Genes / Modelos Genéticos Tipo de estudio: Evaluation_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Genet Asunto de la revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Año: 2016 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Modelos Estadísticos / Redes Reguladoras de Genes / Modelos Genéticos Tipo de estudio: Evaluation_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Genet Asunto de la revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Año: 2016 Tipo del documento: Article País de afiliación: China