Publications by authors named "Solene Delon"
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 Solène Delon
Forensic Sci Int Genet
September 2020
Article Synopsis
- A new Y-STR multiplex called CombYplex was developed, along with a machine learning program named PredYMaLe, to predict haplogroups while meeting forensic standards.
- The CombYplex consists of two sub-panels (M1 and M2) focused on different mutation rates, and testing showed it effectively distinguishes haplogroup classes from a sample of 996 individuals.
- The machine learning models SVM and Random Forest achieved high prediction accuracy (around 97%), although some haplogroups had lower scores due to small sample sizes, highlighting the importance of a large and diverse training dataset for improving classification accuracy.