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Connection

Eric Polley to Algorithms

This is a "connection" page, showing publications Eric Polley has written about Algorithms.
Connection Strength

0.146
  1. Random forests for genetic association studies. Stat Appl Genet Mol Biol. 2011; 10(1):32.
    View in: PubMed
    Score: 0.056
  2. Super learner. Stat Appl Genet Mol Biol. 2007; 6:Article25.
    View in: PubMed
    Score: 0.043
  3. Joint association of mammographic density adjusted for age and body mass index and polygenic risk score with breast cancer risk. Breast Cancer Res. 2019 05 22; 21(1):68.
    View in: PubMed
    Score: 0.024
  4. Comprehensive annotation of BRCA1 and BRCA2 missense variants by functionally validated sequence-based computational prediction models. Genet Med. 2019 01; 21(1):71-80.
    View in: PubMed
    Score: 0.023
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.