A gradient-boosting approach for filtering de novo mutations in parent-offspring trios.

Liu, Yongzhuang; Li, Bingshan; Tan, Renjie; Zhu, Xiaolin; Wang, Yadong

Liu, Yongzhuang; Li, Bingshan; Tan, Renjie; Zhu, Xiaolin; Wang, Yadong.

Afiliación

Liu Y; School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China, Center for Human Genome Variation, Duke University, Durham, NC 27708 and Center for Human Genetics Research, Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37235,
Li B; School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China, Center for Human Genome Variation, Duke University, Durham, NC 27708 and Center for Human Genetics Research, Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37235,
Tan R; School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China, Center for Human Genome Variation, Duke University, Durham, NC 27708 and Center for Human Genetics Research, Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37235,
Zhu X; School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China, Center for Human Genome Variation, Duke University, Durham, NC 27708 and Center for Human Genetics Research, Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37235,
Wang Y; School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China, Center for Human Genome Variation, Duke University, Durham, NC 27708 and Center for Human Genetics Research, Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37235,

Bioinformatics ; 30(13): 1830-6, 2014 Jul 01.

Article en En | MEDLINE | ID: mdl-24618463

Asunto(s)

Mutación; Algoritmos; Inteligencia Artificial; Exoma; Femenino; Genoma; Humanos; Programas Informáticos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Mutación Límite: Female / Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2014 Tipo del documento: Article

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