Hugues Aschard
Genetics · 2016–2021
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 46 citations into it
- Molecular Biology — 29 citations into it
Whom Hugues Aschard trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hugues Aschard overall
Papers from Hugues Aschard's perspective
Ordered by how strongly the researchers Hugues Aschard 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)
- XGBoost: A Scalable Tree Boosting System
- 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)
- Partitioning heritability by functional annotation using genome-wide association summary statistics (Nature Genetics)
- Multiple common variants for celiac disease influencing immune gene expression (Nature Genetics)
- Variable Selection
- Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data (Genetic Epidemiology)
- Genetic mechanisms of critical illness in COVID-19 (Nature)
Their papers
- Fungal microbiota dysbiosis in IBD (2016) — 1,144 citations
- Mapping the human genetic architecture of COVID-19 (2021) — 807 citations
- Efficient analysis of large-scale genome-wide data with two R packages: bigstatsr and bigsnpr (2018) — 326 citations