Ting Qi

Genetics · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ting Qi trusts overall

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

  1. Jian Yang
  2. Shaun Purcell

Papers from Ting Qi's perspective

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

  1. Principal components analysis corrects for stratification in genome-wide association studies
  2. 10 Years of GWAS Discovery: Biology, Function, and Translation. (American Journal of Human Genetics)
  3. PLINK: a tool set for whole-genome association and population-based linkage analyses.
  4. FINEMAP: efficient variable selection using summary data from genome-wide association studies (bioRxiv)
  5. GCTA: a tool for genome-wide complex trait analysis. (American Journal of Human Genetics)
  6. Improved linear mixed models for genome-wide association studies (Nature Methods)
  7. Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia.
  8. Efficient Control of Population Structure in Model Organism Association Mapping (Genetics)
  9. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets (Nature Genetics)
  10. Mixed linear model approach adapted for genome-wide association studies (Nature Genetics)

Their papers