G2PSR

G2PSR is a Bayesian Genome-to-Phenome Sparse Regression method that utilizes sparse SNP-gene constraints and a Bayesian neural network to analyze genomics and phenomics data. It aims to improve scalability and interpretability in joint analysis of genomic and phenotypic information.