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Connection

Peter S. Carbonetto to Models, Genetic

This is a "connection" page, showing publications Peter S. Carbonetto has written about Models, Genetic.
Connection Strength

0.736
  1. Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models. Heredity (Edinb). 2019 03; 122(3):261-275.
    View in: PubMed
    Score: 0.426
  2. A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes. PLoS Genet. 2023 07; 19(7):e1010539.
    View in: PubMed
    Score: 0.151
  3. Fine-mapping from summary data with the "Sum of Single Effects" model. PLoS Genet. 2022 07; 18(7):e1010299.
    View in: PubMed
    Score: 0.141
  4. Polygenic modeling with bayesian sparse linear mixed models. PLoS Genet. 2013; 9(2):e1003264.
    View in: PubMed
    Score: 0.018
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.