Fast and Efficient Estimation of Individual Ancestry Coefficients

By Éric Frichot, F. Mathieu, Théo Trouillon, Guillaume Bouchard, Olivier Francois. Genetics, 2014

789 citations recorded by the source corpus.

Subfields: Gender Studies, Genetics

View Paper: https://www.semanticscholar.org/paper/f6d05e0b38e65d93a79449f3fa0e92372d0f754f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Olivier Francois
2. Éric Frichot
3. Gerry Tonkin-Hill
4. Stephen D. Bentley
5. John Lees
6. Simon D. W. Frost
7. Jukka Corander
8. Mattias Jakobsson

Citations in the corpus

• Fast hierarchical Bayesian analysis of population structure (2018, methodology): “Solutions to this problem include STRUCTURE (4,7), BAPS (8–10), Ad-mixture (11), fast Structure (12), sNMF (13) and the method of Anderson and Thompson (14).”
• LEA: An R package for landscape and ecological association studies (2015, methodology): “The entropy criterion can help choosing the number of ancestral populations that best explains the genotypic data (Alexander and Lange, 2011; Frichot et al., 2014).”