Xiaolei Liu
Genetics · PLoS Genetics · 2016–2020
A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 76 citations into it; #3,609 of 6,854 by trust here, #5,577 by citations
- Plant Science — 27 citations into it
Whom Xiaolei Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiaoping Zhou
- Alkes L Price
- Christoph Lippert
- Jennifer Listgarten
- Nick Patterson
- Jian Yang
- Hyun Min Kang
- Matthew Stephens
- Noah A. Zaitlen
- Zhiwu Zhang
Who trusts Xiaolei Liu overall
Papers from Xiaolei Liu's perspective
Ordered by how strongly the researchers Xiaolei Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- An Arabidopsis Example of Association Mapping in Structured Samples (PLoS Genetics)
- Principal components analysis corrects for stratification in genome-wide association studies
- Mixed linear model approach adapted for genome-wide association studies (Nature Genetics)
- Improved linear mixed models for genome-wide association studies (Nature Methods)
- Genome-wide Efficient Mixed Model Analysis for Association Studies (Nature Genetics)
- GCTA: a tool for genome-wide complex trait analysis. (American Journal of Human Genetics)
- The NHGRI GWAS Catalog, a curated resource of SNP-trait associations
- FaST linear mixed models for genome-wide association studies (Nature Methods)
- Dwarf8 polymorphisms associate with variation in flowering time (Nature Genetics)
- Population Structure and Eigenanalysis (PLoS Genetics)
Their papers
- rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool for Genome-wide Association Study (2020) — 1,003 citations
- BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions (2018) — 712 citations
- GAPIT Version 2: An Enhanced Integrated Tool for Genomic Association and Prediction (2016) — 354 citations
- Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies (2016) — 1,338 citations