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 - Caroline Bouakaze, Franklin Delehelle, Nancy Saenz-Oyhéréguy, Andreia Moreira, Stéphanie Schiavinato, Myriam Croze, Solène Delon, Cesar Fortes-Lima, Morgane Gibert, Louis Bujan, Eric Huyghe, Gil Bellis, Rosario Calderon, Candela Lucia Hernández, Efren Avendaño-Tamayo - Dissemin

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Elsevier, Forensic Science International: Genetics, (48), p. 102342, 2020

DOI: 10.1016/j.fsigen.2020.102342

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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

Journal article published in 2020 by Caroline Bouakaze, Franklin Delehelle, Nancy Saenz-Oyhéréguy, Andreia Moreira, Stéphanie Schiavinato, Myriam Croze, Solène Delon, Cesar Fortes-Lima, Morgane Gibert, Louis Bujan, Eric Huyghe, Gil Bellis, Rosario Calderon, Candela Lucia Hernández, Efren Avendaño-Tamayo and other authors.

This paper was not found in any repository, but could be made available legally by the author.

This paper was not found in any repository, but could be made available legally by the author.

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