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Connection

Co-Authors

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

4.821
  1. GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership. Genome Biol. 2023 10 19; 24(1):236.
    View in: PubMed
    Score: 0.961
  2. GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership. bioRxiv. 2023 Sep 14.
    View in: PubMed
    Score: 0.954
  3. 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: 0.479
  4. Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpca. bioRxiv. 2024 Mar 27.
    View in: PubMed
    Score: 0.248
  5. Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions. bioRxiv. 2024 Feb 10.
    View in: PubMed
    Score: 0.245
  6. DISSECTING TUMOR TRANSCRIPTIONAL HETEROGENEITY FROM SINGLE-CELL RNA-SEQ DATA BY GENERALIZED BINARY COVARIANCE DECOMPOSITION. bioRxiv. 2023 Aug 17.
    View in: PubMed
    Score: 0.237
  7. A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes. PLoS Genet. 2023 07; 19(7):e1010539.
    View in: PubMed
    Score: 0.235
  8. Fine-mapping from summary data with the "Sum of Single Effects" model. PLoS Genet. 2022 07; 18(7):e1010299.
    View in: PubMed
    Score: 0.220
  9. Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage. J Mach Learn Res. 2021 Jan-Dec; 22.
    View in: PubMed
    Score: 0.198
  10. A simple new approach to variable selection in regression, with application to genetic fine mapping. J R Stat Soc Series B Stat Methodol. 2020 Dec; 82(5):1273-1300.
    View in: PubMed
    Score: 0.191
  11. Creating and sharing reproducible research code the workflowr way. F1000Res. 2019; 8:1749.
    View in: PubMed
    Score: 0.182
  12. 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: 0.171
  13. 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: 0.166
  14. Polygenic modeling with bayesian sparse linear mixed models. PLoS Genet. 2013; 9(2):e1003264.
    View in: PubMed
    Score: 0.114
  15. A pairwise cytokine code explains the organism-wide response to sepsis. Nat Immunol. 2024 Feb; 25(2):226-239.
    View in: PubMed
    Score: 0.061
  16. Organism-Wide Analysis of Sepsis Reveals Mechanisms of Systemic Inflammation. bioRxiv. 2023 Feb 02.
    View in: PubMed
    Score: 0.057
  17. 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: 0.054
  18. 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: 0.046
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.