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@stephenslab

Stephens lab

Research in statistical and computational methods for genetics at the University of Chicago.

Pinned

  1. mashr Public

    An R package for multivariate adaptive shrinkage.

    R 60 15

  2. susieR Public

    R package for "sum of single effects" regression.

    R 99 23

  3. mixsqp Public

    R package for fast maximum-likelihood estimation of mixture proportions using SQP.

    R 8 6

  4. flashr Public

    R package for Empirical Bayes Factor Analysis.

    R 46 10

  5. dsc Public

    Repo for Dynamic Statistical Comparisons project

    Python 9 10

  6. Fast algorithms for fitting topic models and non-negative matrix factorizations to count data.

    R 30 3

Repositories

  • fastTopics Public

    Fast algorithms for fitting topic models and non-negative matrix factorizations to count data.

    R 30 3 10 0 Updated Jan 25, 2022
  • dsc_susierss Public

    Companion code repository for the paper, "Fine-mapping from summary data with the Sum of Single Effects model".

    R 0 0 0 0 Updated Jan 25, 2022
  • mashr Public

    An R package for multivariate adaptive shrinkage.

    R 60 15 37 0 Updated Jan 25, 2022
  • rss Public

    Regression with Summary Statistics.

    MATLAB 41 MIT 11 0 1 Updated Jan 24, 2022
  • susieR Public

    R package for "sum of single effects" regression.

    R 99 23 25 0 Updated Jan 20, 2022
  • mr.ash.alpha Public

    An R package implementing Mr.ASH method

    R 3 0 2 0 Updated Jan 18, 2022
  • ebnm Public

    R package to fit Empirical Bayes Normal Means model.

    R 7 7 5 0 Updated Jan 18, 2022
  • VEB.Boost Public

    R package implementing variational Empirical Bayes boosting methods.

    R 0 MIT 0 0 0 Updated Jan 16, 2022
  • udr Public

    R package implementing empirical Bayes methods for multivariate normal means.

    R 1 1 5 0 Updated Jan 14, 2022
  • fastTopics-experiments Public

    Numerical experiments on fitting non-negative matrix factorizations and topic models.

    R 0 MIT 1 0 0 Updated Jan 7, 2022

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