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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

Research article (Forensic Science International Genetics, 2020) · cited 14× · AI/ML
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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

Summary

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 is a scholarly article[1].

Key Facts

  • 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's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-haplogroups-using-a-versatile-machine-learning-program-predymale-on-a-new-mutationally-balanced-32-y-str-mult
MLA “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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-haplogroups-using-a-versatile-machine-learning-program-predymale-on-a-new-mutationally-balanced-32-y-str-mult.
BibTeX @misc{4ortxyz_predicting-haplogroups-using-a-versatile-machine-learning-program-predymale-on-a-new-mutationally-balanced-32-y-str-mult_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-haplogroups-using-a-versatile-machine-learning-program-predymale-on-a-new-mutationally-balanced-32-y-str-mult}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/predicting-haplogroups-using-a-versatile-machine-learning-program-predymale-on-a-new-mutationally-balanced-32-y-str-mult (retrieved 2026-05-24)

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