Hans D. Daetwyler

Genetics · 2008–2020

A researcher in the Science corpus: 8 papers; trusts 25 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Hans D. Daetwyler trusts overall

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

  1. Michael E. Goddard
  2. Paul M. Vanraden
  3. David Habier
  4. Ben J. Hayes
  5. Rohan L. Fernando
  6. Robert Tibshirani
  7. Paul Scheet
  8. Peter M. Visscher
  9. B. Villanueva
  10. J. Kelly

Who trusts Hans D. Daetwyler overall

  1. Frank Dudbridge
  2. Franco G. Asoro
  3. Emily Combs
  4. G. de los Campos
  5. D. Grattapaglia
  6. R. Bernardo
  7. Haja N. Kadarmideen
  8. Sean M. Hoban
  9. John M. Hickey
  10. Lian Lian

Papers from Hans D. Daetwyler's perspective

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

  1. Efficient methods to compute genomic predictions. (Journal of Dairy Science)
  2. Regression Shrinkage and Selection via the Lasso
  3. Invited review: Genomic selection in dairy cattle: progress and challenges. (Journal of Dairy Science)
  4. The Impact of Genetic Relationship Information on Genome-Assisted Breeding Values (Genetics)
  5. Prediction of total genetic value using genome-wide dense marker maps. (Genetics)
  6. Common SNPs explain a large proportion of heritability for human height (Nature Genetics)
  7. Strategy for applying genome-wide selection in dairy cattle. (Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie)
  8. Genomic-Assisted Prediction of Genetic Value With Semiparametric Procedures (Genetics)
  9. Assumption-Free Estimation of Heritability from Genome-Wide Identity-by-Descent Sharing between Full Siblings (PLoS Genetics)
  10. A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase. (American Journal of Human Genetics)

Their papers