Distinguishing among complex evolutionary models using unphased whole-genome data through random forest approximate Bayesian computation.

Ghirotto, Silvia; Vizzari, Maria Teresa; Tassi, Francesca; Barbujani, Guido; Benazzo, Andrea

Ghirotto, Silvia; Vizzari, Maria Teresa; Tassi, Francesca; Barbujani, Guido; Benazzo, Andrea.

Afiliação

Ghirotto S; Department of Mathematics and Computer Science, University of Ferrara, Ferrara, Italy.
Vizzari MT; Department of Mathematics and Computer Science, University of Ferrara, Ferrara, Italy.
Tassi F; Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.
Barbujani G; Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.
Benazzo A; Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.

Mol Ecol Resour ; 21(8): 2614-2628, 2021 Nov.

Article em En | MEDLINE | ID: mdl-33000507

Assuntos

Hominidae; Modelos Genéticos; Animais; Teorema de Bayes; Simulação por Computador; Genética Populacional; Humanos; Reprodutibilidade dos Testes

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hominidae / Modelos Genéticos Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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