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10/03/2022
A flexible model for correlated count data, with application to analysis of gene expression differences in multi-condition experiments
Detecting differences in gene expression is an important part of RNA seq...
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08/23/2022
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
We introduce a new empirical Bayes approach for large-scale multiple lin...
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05/27/2021
Non-negative matrix factorization algorithms greatly improve topic model fits
We report on the potential for using algorithms for non-negative matrix ...
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06/04/2018
A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic Programming
Maximum likelihood estimation of mixture proportions has a long history ...
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09/19/2017
varbvs: Fast Variable Selection for Large-scale Regression
We introduce varbvs, a suite of functions written in R and MATLAB for re...
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07/04/2012