Andrey Ziyatdinov
Genetics · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 32 citations into it
- Molecular Biology — 10 citations into it
- Artificial Intelligence — 5 citations into it
Whom Andrey Ziyatdinov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Andrey Ziyatdinov's perspective
Ordered by how strongly the researchers Andrey Ziyatdinov trusts endorse each paper. Same corpus, a different order for every researcher.
- Principal components analysis corrects for stratification in genome-wide association studies
- Power and Predictive Accuracy of Polygenic Risk Scores (PLoS Genetics)
- The UK Biobank resource with deep phenotyping and genomic data
- XGBoost: A Scalable Tree Boosting System
- A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis
- A unified mixed-model method for association mapping that accounts for multiple levels of relatedness (Nature Genetics)
- Scalable Variational Inference for Bayesian Variable Selection in Regression, and Its Accuracy in Genetic Association Studies
- Mixed model association for biobank-scale data sets (Nature Genetics)
- Rcpp: Seamless R and C++ Integration
- Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering. (American Journal of Human Genetics)
Their papers
- Computationally efficient whole-genome regression for quantitative and binary traits (2020) — 1,233 citations
- Efficient analysis of large-scale genome-wide data with two R packages: bigstatsr and bigsnpr (2018) — 326 citations