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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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-33000507
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hominidae / Models, Genetic Type of study: Clinical_trials / Prognostic_studies Limits: Animals / Humans Language: En Journal: Mol Ecol Resour Year: 2021 Type: Article Affiliation country: Italy
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hominidae / Models, Genetic Type of study: Clinical_trials / Prognostic_studies Limits: Animals / Humans Language: En Journal: Mol Ecol Resour Year: 2021 Type: Article Affiliation country: Italy