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@stephenslab

Stephens lab

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

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  1. susieR Public

    R package for "sum of single effects" regression.

    R 204 52

  2. mashr Public

    An R package for multivariate adaptive shrinkage.

    R 90 19

  3. flashr Public

    R package for Empirical Bayes Factor Analysis.

    R 50 11

  4. fastTopics Public

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

    R 79 9

  5. ebnm Public

    R package to fit Empirical Bayes Normal Means model.

    R 12 9

  6. dsc Public

    Repo for Dynamic Statistical Comparisons project

    HTML 12 11

Repositories

Showing 10 of 103 repositories
  • fsusieR Public

    Draft package for "Sum of Single Functions" method.

    R 2 1 4 0 Updated Apr 3, 2025
  • single-cell-jamboree Public

    Exploratory analyses of single-cell data sets using different matrix factorization approaches.

    R 1 0 0 0 Updated Apr 2, 2025
  • flashierX Public

    Flashier extensions.

    R 0 0 0 0 Updated Mar 13, 2025
  • fastglmpca Public

    Fast algorithms for GLM-PCA.

    HTML 12 GPL-2.0 0 2 0 Updated Mar 12, 2025
  • fastTopics Public

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

    R 79 9 14 1 Updated Feb 27, 2025
  • susieR Public

    R package for "sum of single effects" regression.

    R 204 52 84 0 Updated Feb 27, 2025
  • mr.mash.alpha Public

    R package implementing methods for multivariate multiple regression with adaptive shrinkage priors.

    R 4 3 0 0 Updated Feb 4, 2025
  • gbcd Public

    R package for generalized binary covariance decomposition.

    R 7 0 5 0 Updated Feb 4, 2025
  • gradvi Public

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

    Python 8 MIT 0 0 0 Updated Dec 4, 2024
  • flashr Public

    R package for Empirical Bayes Factor Analysis.

    R 50 BSD-3-Clause 11 25 1 Updated Dec 4, 2024

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