Tian Ge

Genetics · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tian Ge trusts overall

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

  1. Chris Hans
  2. Andrew Gelman
  3. Artin Armagan
  4. Trevor Park
  5. Yongtao Guan
  6. Tomaz Berisa
  7. Nicholas G. Polson
  8. Bryan N. Howie
  9. Matthew Stephens
  10. Po-Ru Loh

Papers from Tian Ge's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. The Bayesian Lasso
  3. FINEMAP: efficient variable selection using summary data from genome-wide association studies (bioRxiv)
  4. A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies (PLoS Genetics)
  5. Bayesian lasso regression
  6. The horseshoe estimator for sparse signals
  7. GCTA: a tool for genome-wide complex trait analysis. (American Journal of Human Genetics)
  8. Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels. (Journal of Dairy Science)
  9. UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
  10. Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences

Their papers