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This is a "connection" page, showing publications co-authored by Peter Carbonetto and Matthew Stephens.

Connection Strength
  1. Carbonetto P, Stephens M. Integrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine signaling genes in Crohn's disease. PLoS Genet. 2013; 9(10):e1003770.
    View in: PubMed
    Score: 0.524
  2. Zou Y, Carbonetto P, Wang G, Stephens M. Fine-mapping from summary data with the "Sum of Single Effects" model. PLoS Genet. 2022 07; 18(7):e1010299.
    View in: PubMed
    Score: 0.241
  3. Blischak JD, Carbonetto P, Stephens M. Creating and sharing reproducible research code the workflowr way. F1000Res. 2019; 8:1749.
    View in: PubMed
    Score: 0.199
  4. Urbut SM, Wang G, Carbonetto P, Stephens M. Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions. Nat Genet. 2019 01; 51(1):187-195.
    View in: PubMed
    Score: 0.187
  5. Zhou X, Carbonetto P, Stephens M. Polygenic modeling with bayesian sparse linear mixed models. PLoS Genet. 2013; 9(2):e1003264.
    View in: PubMed
    Score: 0.125
  6. Clay SM, Schoettler N, Goldstein AM, Carbonetto P, Dapas M, Altman MC, Rosasco MG, Gern JE, Jackson DJ, Im HK, Stephens M, Nicolae DL, Ober C. Fine-mapping studies distinguish genetic risks for childhood- and adult-onset asthma in the HLA region. Genome Med. 2022 05 24; 14(1):55.
    View in: PubMed
    Score: 0.060
  7. Kim Y, Carbonetto P, Stephens M, Anitescu M. A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic Programming. J Comput Graph Stat. 2020; 29(2):261-273.
    View in: PubMed
    Score: 0.051
  8. Ferrão LFV, Ferrão RG, Ferrão MAG, Fonseca A, Carbonetto P, Stephens M, Garcia AAF. 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: 0.045
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.