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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 65 16

  2. susieR Public

    R package for "sum of single effects" regression.

    R 113 25

  3. mixsqp Public

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

    R 8 7

  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. fastTopics Public

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

    R 32 3

Repositories

  • udr Public

    R package implementing empirical Bayes methods for multivariate normal means.

    R 1 1 5 0 Updated May 25, 2022
  • fastTopics Public

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

    R 32 3 10 0 Updated May 24, 2022
  • 0 0 0 0 Updated May 19, 2022
  • gradvi Public

    Gradient descent methods for Bayesian variational inference with mean field approximation.

    Python 0 MIT 0 0 0 Updated May 16, 2022
  • susiF.alpha Public

    Draft package for "Sum of Single Functions" method.

    R 0 GPL-3.0 0 1 0 Updated May 13, 2022
  • susieR Public

    R package for "sum of single effects" regression.

    R 113 25 32 0 Updated May 13, 2022
  • VEB.Boost Public

    R package implementing variational Empirical Bayes boosting methods.

    R 0 MIT 0 0 0 Updated May 12, 2022
  • mixsqp Public

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

    R 8 7 4 0 Updated May 4, 2022
  • mvsusieR Public

    A new model and algorithm for multivariate Bayesian variable selection regression.

    Jupyter Notebook 11 4 19 0 Updated May 4, 2022
  • poisson.mash.alpha Public

    An R package for Poisson multivariate adaptive shrinkage.

    R 1 0 0 0 Updated May 2, 2022

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