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

Our results emphasize the importance of accounting for projection uncertainty in ancient population studies. We therefore make our probabilistic model available through TrustPCA, a user-friendly web tool that provides researchers with uncertainty estimates alongside PCA projections, facilitating data exploration in ancient human genomic studies and enhancing transparency in data quality reporting.

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Publication Details

Journal
BMC Genomics
Published
2025-05-27
DOI
https://doi.org/10.1186/s12864-025-11728-1
Citations
1
Primary Topic
Forensic and Genetic Research
Type
article
Field-Weighted Citation Impact
1.82

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article

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

Susanne Zabel, Cosimo Posth, Kay Nieselt, Samira Breitling
1 citations
BMC Genomics
Forensic and Genetic Research
1.82
article

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

Susanne Zabel, Cosimo Posth, Kay Nieselt, Samira Breitling
article en
1 citations

Abstract

Our results emphasize the importance of accounting for projection uncertainty in ancient population studies. We therefore make our probabilistic model available through TrustPCA, a user-friendly web tool that provides researchers with uncertainty estimates alongside PCA projections, facilitating data exploration in ancient human genomic studies and enhancing transparency in data quality reporting.

BMC GenomicsVol. 26(1)
Senckenberg Centre for Human Evolution and Palaeoenvironment (DE), Department of Archaeology (LK), University of Tübingen (DE)
Eberhard Karls Universität Tübingen
Openalex Percentile: Top 16%
Forensic and Genetic Research
1.82
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A probabilistic approach to visualize the effect of missing data on PCA in ancient human genomics — Susanne Zabel, Cosimo Posth, et al. · BMC Genomics (2025) | TGRS Research Map | TGRS