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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

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https://hal-cnrs.archives-ouvertes.fr/hal-03009992
Contributor : Morgane Gibert <>
Submitted on : Tuesday, November 17, 2020 - 3:09:12 PM
Last modification on : Wednesday, November 18, 2020 - 10:58:06 AM

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Caroline Bouakaze, Franklin Delehelle, Nancy Saenz-Oyhéréguy, Andreia Moreira, Stéphanie Schiavinato, et al.. 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. Forensic Science International: Genetics , Elsevier, 2020, 48, pp.102342. ⟨10.1016/j.fsigen.2020.102342⟩. ⟨hal-03009992⟩

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