Jiabo Wang

Genetics · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiabo Wang trusts overall

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

  1. Jeffrey B. Endelman
  2. J. K. Pritchard
  3. Xiaolei Liu
  4. Zhiwu Zhang
  5. P. Pérez
  6. Meng Huang
  7. Matthew Stephens
  8. Hyun Min Kang
  9. Christoph Lippert
  10. Jian Yang

Papers from Jiabo Wang's perspective

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

  1. Efficient methods to compute genomic predictions. (Journal of Dairy Science)
  2. Mixed linear model approach adapted for genome-wide association studies (Nature Genetics)
  3. Variance component model to account for sample structure in genome-wide association studies (Nature Genetics)
  4. Association mapping in structured populations. (American Journal of Human Genetics)
  5. Genome-wide Efficient Mixed Model Analysis for Association Studies (Nature Genetics)
  6. Principal components analysis corrects for stratification in genome-wide association studies
  7. FaST linear mixed models for genome-wide association studies (Nature Methods)
  8. Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information. (Journal of Dairy Science)
  9. Prediction of total genetic value using genome-wide dense marker maps. (Genetics)
  10. Improved linear mixed models for genome-wide association studies (Nature Methods)

Their papers