Using Machine Learning to Identify True Somatic Variants from Next-Generation Sequencing.

Wu, Chao; Zhao, Xiaonan; Welsh, Mark; Costello, Kellianne; Cao, Kajia; Abou Tayoun, Ahmad; Li, Marilyn; Sarmady, Mahdi

Wu, Chao; Zhao, Xiaonan; Welsh, Mark; Costello, Kellianne; Cao, Kajia; Abou Tayoun, Ahmad; Li, Marilyn; Sarmady, Mahdi.

Afiliação

Wu C; Division of Genomic Diagnostics, The Children's Hospital of Philadelphia, Philadelphia, PA.
Zhao X; Division of Genomic Diagnostics, The Children's Hospital of Philadelphia, Philadelphia, PA.
Welsh M; Division of Genomic Diagnostics, The Children's Hospital of Philadelphia, Philadelphia, PA.
Costello K; College of Science and Technology, Temple University, Philadelphia, PA.
Cao K; Division of Genomic Diagnostics, The Children's Hospital of Philadelphia, Philadelphia, PA.
Abou Tayoun A; Department of Genetics, Al Jalila Children's Specialty Hospital, Dubai, UAE.
Li M; Division of Genomic Diagnostics, The Children's Hospital of Philadelphia, Philadelphia, PA.
Sarmady M; Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, PA.

Clin Chem ; 66(1): 239-246, 2020 01 01.

Article em En | MEDLINE | ID: mdl-31672855

Assuntos

Sequenciamento de Nucleotídeos em Larga Escala/métodos; Aprendizado de Máquina; Reações Falso-Positivas; Humanos; Neoplasias/diagnóstico; Neoplasias/genética; Polimorfismo de Nucleotídeo Único; Sensibilidade e Especificidade

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sequenciamento de Nucleotídeos em Larga Escala / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Clin Chem Ano de publicação: 2020 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google