George Tucker

Genetics · with Berger · 2014

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom George Tucker trusts overall

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

  1. Xiaoping Zhou
  2. Paul M. Vanraden
  3. Peter Carbonetto
  4. Matthew Stephens
  5. Alkes L Price

Papers from George Tucker's perspective

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

  1. Common SNPs explain a large proportion of heritability for human height (Nature Genetics)
  2. An efficient multi-locus mixed model approach for genome-wide association studies in structured populations (Nature Genetics)
  3. A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis
  4. Improved linear mixed models for genome-wide association studies (Nature Methods)
  5. Efficient Control of Population Structure in Model Organism Association Mapping (Genetics)
  6. New approaches to population stratification in genome-wide association studies
  7. Genome-wide Efficient Mixed Model Analysis for Association Studies (Nature Genetics)
  8. Principal components analysis corrects for stratification in genome-wide association studies
  9. Efficient methods to compute genomic predictions. (Journal of Dairy Science)
  10. FaST linear mixed models for genome-wide association studies (Nature Methods)

Their papers