Login / Signup

Probabilistic ancestry maps: a method to assess and visualize population substructures in genetics.

Héléna A GasparGerome Breen
Published in: BMC bioinformatics (2019)
The main interest of probabilistic GTM maps is to attain two objectives with only one map: provide a better visualization that separates populations efficiently, and infer genetic ancestry for individuals or populations. This paper is a first application of GTM for ancestry classification models. Our code ( https://github.com/hagax8/ancestry_viz ) and interactive visualizations ( https://lovingscience.com/ancestries ) are available online.
Keyphrases
  • genome wide association study
  • machine learning
  • deep learning
  • genome wide
  • healthcare
  • health information
  • dna methylation
  • gene expression
  • copy number