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Connection

Daniel Wilson to Bayes Theorem

This is a "connection" page, showing publications Daniel Wilson has written about Bayes Theorem.
Connection Strength

1.110
  1. Bayesian inference of ancestral dates on bacterial phylogenetic trees. Nucleic Acids Res. 2018 12 14; 46(22):e134.
    View in: PubMed
    Score: 0.565
  2. Machine learning to predict the source of campylobacteriosis using whole genome data. PLoS Genet. 2021 10; 17(10):e1009436.
    View in: PubMed
    Score: 0.172
  3. Evolutionary dynamics of Staphylococcus aureus during progression from carriage to disease. Proc Natl Acad Sci U S A. 2012 Mar 20; 109(12):4550-5.
    View in: PubMed
    Score: 0.088
  4. A population genetics-phylogenetics approach to inferring natural selection in coding sequences. PLoS Genet. 2011 Dec; 7(12):e1002395.
    View in: PubMed
    Score: 0.087
  5. Estimating diversifying selection and functional constraint in the presence of recombination. Genetics. 2006 Mar; 172(3):1411-25.
    View in: PubMed
    Score: 0.058
  6. Combining genomics and epidemiology to analyse bi-directional transmission of Mycobacterium bovis in a multi-host system. Elife. 2019 12 17; 8.
    View in: PubMed
    Score: 0.038
  7. Bayesian reconstruction of transmission within outbreaks using genomic variants. PLoS Comput Biol. 2018 04; 14(4):e1006117.
    View in: PubMed
    Score: 0.034
  8. Utilizing a combination of molecular and spatial tools to assess the effect of a public health intervention. Prev Vet Med. 2011 Dec 01; 102(3):242-53.
    View in: PubMed
    Score: 0.021
  9. Campylobacter genotyping to determine the source of human infection. Clin Infect Dis. 2009 Apr 15; 48(8):1072-8.
    View in: PubMed
    Score: 0.018
  10. Evolution of the human immunodeficiency virus envelope gene is dominated by purifying selection. Genetics. 2006 Nov; 174(3):1441-53.
    View in: PubMed
    Score: 0.015
  11. Population genetic estimation of the loss of genetic diversity during horizontal transmission of HIV-1. BMC Evol Biol. 2006 Mar 23; 6:28.
    View in: PubMed
    Score: 0.015
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.