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This is a "connection" page, showing publications co-authored by Justin Borevitz and Riyan Cheng.
Connection Strength

  1. Novel Resampling Improves Statistical Power for Multiple-Trait QTL Mapping. G3 (Bethesda). 2017 03 10; 7(3):813-822.
    View in: PubMed
    Score: 0.601
  2. Global Diversity of the Brachypodium Species Complex as a Resource for Genome-Wide Association Studies Demonstrated for Agronomic Traits in Response to Climate. Genetics. 2019 01; 211(1):317-331.
    View in: PubMed
    Score: 0.169
  3. TraitCapture: genomic and environment modelling of plant phenomic data. Curr Opin Plant Biol. 2014 Apr; 18:73-9.
    View in: PubMed
    Score: 0.122
  4. Genetic variation for life history sensitivity to seasonal warming in Arabidopsis thaliana. Genetics. 2014 Feb; 196(2):569-77.
    View in: PubMed
    Score: 0.120
  5. Selecting informative traits for multivariate quantitative trait locus mapping helps to gain optimal power. Genetics. 2013 Nov; 195(3):683-91.
    View in: PubMed
    Score: 0.118
  6. A Genome-Wide Association Study of Non-Photochemical Quenching in response to local seasonal climates in Arabidopsis thaliana. Plant Direct. 2019 May; 3(5):e00138.
    View in: PubMed
    Score: 0.044
  7. Using Phenomic Analysis of Photosynthetic Function for Abiotic Stress Response Gene Discovery. Arabidopsis Book. 2016; 14:e0185.
    View in: PubMed
    Score: 0.036
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.