Hailing Fang

Genetics · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hailing Fang trusts overall

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

  1. Jian Yang

Papers from Hailing Fang's perspective

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

  1. The UK Biobank resource with deep phenotyping and genomic data
  2. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness (Nature Genetics)
  3. Advantages and pitfalls in the application of mixed model association methods (Nature Genetics)
  4. Mixed model association for biobank-scale data sets (Nature Genetics)
  5. GCTA: a tool for genome-wide complex trait analysis. (American Journal of Human Genetics)
  6. Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies (Nature Genetics)
  7. A resource-efficient tool for mixed model association analysis of large-scale data (Nature Genetics)
  8. Improved polygenic prediction by Bayesian multiple regression on summary statistics (Nature Communications)
  9. ACAT: A Fast and Powerful P-value Combination Method for Rare-variant Analysis in Sequencing Studies (bioRxiv)
  10. Computationally efficient whole-genome regression for quantitative and binary traits (Nature Genetics)

Their papers