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
- Bouakaze, C.
- Delehelle, F.
- Saenz-Oyhéréguy, N.
- Moreira, A.
- Schiavinato, S.
- Croze, M.
- Delon, S.
- Fortes-Lima, C.
- Gibert, M.
- Bujan, L.
- Huyghe, E.
- Bellis, G.
- Calderon, R.
- Hernández, C.L.
- Avendaño-Tamayo, E.
- Bedoya, G.
- Salas, A.
- Mazières, S.
- Charioni, J.
- Migot-Nabias, F.
- Ruiz-Linares, A.
- Dugoujon, J.-M.
- Thèves, C.
- Mollereau-Manaute, C.
- Noûs, C.
- Poulet, N.
- King, T.
- D'Amato, M.E.
- Balaresque, P.
- Alle Autoren anzeigen +
Zeitschrift:
Forensic Science International: Genetics
ISSN: 1878-0326, 1872-4973
Datum der Publikation: 2020
Ausgabe: 48
Art: Artikel