Statistics

A hierarchical Poisson Log-Normal model to simultaneously estimate many gene expression networks from scRNA-seq data that effectively incorporates shared network structures.

GVSSB is an an algorithm for fitting sparse group linear models and sparse additime models using variational Bayes with spike-and-slab prior in R language.

SPLN is a hierarchical Poisson Log-Normal model that simultaneously estimate many networks using count data to effectively incorporate the shared network structures.

A parameter-expanded Coordinate-Ascent Variational Inference algorithm for high-dimensional linear regression models with grouped variables under spike-and-slab priors.