Document Type
Poster
Abstract
The Ancestry Composition Algorithm is used by 23andMe to classify an individual's genetic information to inherited ancestry. Within this algorithm there are three specific steps to classify DNA: window classification, smoothing, and recalibration. Window classification uses kernel support vector machines to make initial ancestry classifications. Smoothing corrects for errors in the previously made classifications by using an autoregressive, pair hidden Markov model. Finally, the recalibration step accounts for biases by initially using an isotonic regression procedure; however, in cases of close geographic proximity, uses a hierarchical classifier to distinguish these ancestries.
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Publication Date
2020
Keywords
Ancestry Composition Algorithm, kernel support vector machines, Markov model, genetic ancestry, 23andMe
Disciplines
Mathematics
Recommended Citation
Gibson, Kathrine, "Assigning Geographic Origins to Genome Sequences" (2020). Math Student Scholarship. 4.
https://repository.gonzaga.edu/mathstudentschol/4
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