From unsupervised selection of AIMs to likelihood-based BGA inference: Challenges revealed by OpenADMIXTURE and GENOGEOGRAPHER.

Abstract excerpt

Biogeographical ancestry (BGA) inference is an important tool in forensic genetics. However, typical approaches often rely on predefined population labels and limited marker sets, which constrain both resolution and flexibility. In this study, we evaluate the potential of unsupervised feature selection for BGA inference using Sparse K-means with Feature Ranking (SKFR), as implemented in OpenADMIXTURE. We...

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