Predicting haplogroups using a versatile machine learning program (PredYMaLe) on a new mutationally balanced 32 Y-STR multiplex (CombYplex): Unlocking the full potential of the human STR mutation rate spectrum to estimate forensic parameters

Autor:	Bouakaze, Caroline, Delehelle, Franklin, Saenz-Oyhéréguy, Nancy, Moreira, Andreia, Schiavinato, Stéphanie, Croze, Myriam, Delon, Solène, Fortes-Lima, Cesar, Gibert, Morgane, Bujan, Louis, Huyghe, Eric, Bellis, Gil, Calderon, Rosario, Hernández, Candela Lucia, Avendaño-Tamayo, Efren, Bedoya, Gabriel, Salas, Antonio, Mazières, Stéphane, Charioni, Jacques, Migot-Nabias, Florence, Ruiz-Linares, Andres, Dugoujon, Jean-Michel, Thèves, Catherine, Mollereau-Manaute, Catherine, Noûs, Camille, Poulet, Nicolas, King, Turi, D’Amato, Maria Eugenia, Balaresque, Patricia *
Zdroj:	In Forensic Science International: Genetics September 2020 48
Databáze:	ScienceDirect
Externí odkaz:	Zobrazit plný text záznamu Full Text from ScienceDirect