Y. Feng

Genetics · with Jones · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Feng trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Chris Hans
  2. Andrew Gelman

Papers from Y. Feng's perspective

Ordered by how strongly the researchers Y. Feng trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Bayesian Lasso
  2. Bayesian lasso regression
  3. The horseshoe estimator for sparse signals
  4. A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies (PLoS Genetics)
  5. Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences
  6. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
  7. Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels. (Journal of Dairy Science)
  8. Extension of the bayesian alphabet for genomic selection (BMC Bioinformatics)
  9. Partitioning heritability by functional annotation using genome-wide association summary statistics (Nature Genetics)
  10. UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

Their papers