A probabilistic approach to visualize the effect of missing data on PCA in ancient human genomics

A probabilistic approach to visualize the effect of missing data on PCA in ancient human genomics

Abstract Background Principal Component Analysis (PCA) is widely used in population genetics to visualize genetic relationships and population structures. In ancient genomics, genotype information may in parts remain unresolved due to the low abundance and degraded quality of ancient DNA. While meth...

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Bibliographic Details
Main Authors: Susanne Zabel, Samira Breitling, Cosimo Posth, Kay Nieselt
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Genomics
Subjects:
Ancient genomics
Missing data
Population genetics
Principal component analysis
SmartPCA
Uncertainty
Online Access:https://doi.org/10.1186/s12864-025-11728-1
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