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Connection

Matthew Stephens to Genome

This is a "connection" page, showing publications Matthew Stephens has written about Genome.
Connection Strength

1.341
  1. Inference and visualization of DNA damage patterns using a grade of membership model. Bioinformatics. 2019 04 15; 35(8):1292-1298.
    View in: PubMed
    Score: 0.549
  2. Efficient multivariate linear mixed model algorithms for genome-wide association studies. Nat Methods. 2014 Apr; 11(4):407-9.
    View in: PubMed
    Score: 0.384
  3. Silencing of transposable elements may not be a major driver of regulatory evolution in primate iPSCs. Elife. 2018 04 12; 7.
    View in: PubMed
    Score: 0.128
  4. Variance adaptive shrinkage (vash): flexible empirical Bayes estimation of variances. Bioinformatics. 2016 11 15; 32(22):3428-3434.
    View in: PubMed
    Score: 0.113
  5. A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures. PLoS Genet. 2015 Dec; 11(12):e1005657.
    View in: PubMed
    Score: 0.109
  6. Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics. Nat Genet. 2020 07; 52(7):740-747.
    View in: PubMed
    Score: 0.037
  7. Comparative RNA sequencing reveals substantial genetic variation in endangered primates. Genome Res. 2012 Apr; 22(4):602-10.
    View in: PubMed
    Score: 0.021
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.