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SNP-Heritability Estimation.pdf

Hauptmann_btaa199.pdf
Preview of SNP-Heritability Estimation
🔗 Source: discovery.ucl.ac.uk
📊 Size: 551 KB
📄 Pages: 8 pages
⬇️ Downloads: 69

Summary

Arttu Arjas et al. introduce a Bayesian Gaussian process-based approach for estimating dynamic SNP-heritability and its uncertainty, using a Markov Chain Monte Carlo method for parameter estimation. The proposed method outperforms a two-stage baseline method and a random regression model, with narrower 95% credible intervals and superior quantitative measures. The approach is demonstrated on simulated and real data with up to 1000 time points and is scalable for large datasets. The implementation, dynBGP, is available on GitHub.

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Description

Arttu Arjas et al.

Technical Information

  • File Format: PDF
  • File Size: 551 KB
  • Pages: 8
  • Language: EN
  • Total Downloads: 69
  • Last Updated: 20 hours ago

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This PDF document about SNP-Heritability Estimation provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into SNP-Heritability Estimation.

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