SMuRF: portable and accurate ensemble prediction of somatic mutations.

Huang, Weitai; Guo, Yu Amanda; Muthukumar, Karthik; Baruah, Probhonjon; Chang, Mei Mei; Jacobsen Skanderup, Anders

Huang, Weitai; Guo, Yu Amanda; Muthukumar, Karthik; Baruah, Probhonjon; Chang, Mei Mei; Jacobsen Skanderup, Anders.

Afiliação

Huang W; Department of Computational and Systems Biology, Agency for Science Technology and Research, Genome Institute of Singapore, Singapore, Singapore.
Guo YA; Graduate School of Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore.
Muthukumar K; Department of Computational and Systems Biology, Agency for Science Technology and Research, Genome Institute of Singapore, Singapore, Singapore.
Baruah P; Department of Computational and Systems Biology, Agency for Science Technology and Research, Genome Institute of Singapore, Singapore, Singapore.
Chang MM; Department of Computational and Systems Biology, Agency for Science Technology and Research, Genome Institute of Singapore, Singapore, Singapore.
Jacobsen Skanderup A; Department of Computational and Systems Biology, Agency for Science Technology and Research, Genome Institute of Singapore, Singapore, Singapore.

Bioinformatics ; 35(17): 3157-3159, 2019 09 01.

Article em En | MEDLINE | ID: mdl-30649191

Assuntos

Sequenciamento de Nucleotídeos em Larga Escala; Exoma; Frequência do Gene; Mutação; Aprendizado de Máquina Supervisionado

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Singapura

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