H. Barbier

Plant Science · 2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Barbier trusts

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

  1. Jeffrey B. Endelman (in Plant Science)
  2. Hans-Peter Piepho (in Genetics)
  3. Paul M. Vanraden (in Genetics)

Papers from H. Barbier's perspective

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

  1. Prediction of total genetic value using genome-wide dense marker maps. (Genetics)
  2. Efficient methods to compute genomic predictions. (Journal of Dairy Science)
  3. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness (Nature Genetics)
  4. Ridge Regression and Extensions for Genomewide Selection in Maize
  5. Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP
  6. Model-Based Clustering, Discriminant Analysis, and Density Estimation
  7. Development of High-Density Genetic Maps for Barley and Wheat Using a Novel Two-Enzyme Genotyping-by-Sequencing Approach (PLoS ONE)
  8. An Analysis of Transformations
  9. mclust Version 4 for R : Normal Mixture Modeling for Model-Based Clustering , Classification , and Density Estimation
  10. Stem rust of wheat in Australia

Their papers