Stephens lab
Research in statistical and computational methods for genetics at the University of Chicago.
Pinned Repositories
dsc
Repo for Dynamic Statistical Comparisons project
ebnm
R package to fit Empirical Bayes Normal Means model.
effective-computing
Effective Computing—Resources for Computational Biologists
fastTopics
Fast algorithms for fitting topic models and non-negative matrix factorizations to count data.
flashr
R package for Empirical Bayes Factor Analysis.
gtexresults
Code and data resources accompanying Urbut et al (2017), "Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions."
ipynb-website
Simple data science website using Jupyter notebooks.
mashr
An R package for multivariate adaptive shrinkage.
rss
RSS: Regression with Summary Statistics
susieR
R package for "sum of single effects" regression.
Stephens lab's Repositories
stephenslab/susieR
R package for "sum of single effects" regression.
stephenslab/mashr
An R package for multivariate adaptive shrinkage.
stephenslab/fastTopics
Fast algorithms for fitting topic models and non-negative matrix factorizations to count data.
stephenslab/rss
RSS: Regression with Summary Statistics
stephenslab/flashr
R package for Empirical Bayes Factor Analysis.
stephenslab/mvsusieR
A new model and algorithm for multivariate Bayesian variable selection regression.
stephenslab/fastglmpca
Fast algorithms for GLM-PCA.
stephenslab/dsc
Repo for Dynamic Statistical Comparisons project
stephenslab/ebnm
R package to fit Empirical Bayes Normal Means model.
stephenslab/gbcd
R package for generalized binary covariance decomposition.
stephenslab/mixsqp
R package for fast maximum-likelihood estimation of mixture proportions using SQP.
stephenslab/mr.ash.alpha
An R package implementing Mr.ASH method
stephenslab/poisson.mash.alpha
An R package for Poisson multivariate adaptive shrinkage.
stephenslab/gradvi
Gradient descent methods for Bayesian variational inference with mean field approximation.
stephenslab/udr
R package implementing empirical Bayes methods for multivariate normal means.
stephenslab/smashr
An R package for smoothing & signal denoising using adaptive shrinkage.
stephenslab/fsusieR
R package for "Sum of Single Functions" (fSuSiE) with applications to fine-mapping of molecular profiles.
stephenslab/mr.ash
R package implementing methods for multiple regression with adaptive shrinkage priors ("mr.ash").
stephenslab/mr.mash.alpha
R package implementing methods for multivariate multiple regression with adaptive shrinkage priors.
stephenslab/fastTopics-experiments
Numerical experiments on fitting non-negative matrix factorizations and topic models.
stephenslab/gbcd-workflow
GBCD analyses of scRNA-seq data from malignant cells.
stephenslab/mr-ash-workflow
MR.ASH (Multiple Regression with Adaptive Shrinkage) method and other linear regression methods.
stephenslab/reading_lists
a repo for reading lists related to research in the Stephens lab
stephenslab/VEB.Boost
R package implementing variational Empirical Bayes boosting methods.
stephenslab/single-cell-jamboree
Exploratory analyses of single-cell data sets using different matrix factorization approaches.
stephenslab/singlecelljamboreeR
R package supporting the analyses in the "single-cell jamboree".
stephenslab/ebpm
R package to fit the "Empirical Bayes Poisson Means" model.
stephenslab/flashierX
Flashier extensions.
stephenslab/fsusie-experiments
Code and data for fsusie paper.
stephenslab/mmbr-rss-dsc
mvSuSiE simulation code and results.