2 papers
stat.ME2026
bayesNMF: Fast Bayesian Poisson NMF with Automatically Learned Rank Applied to Mutational Signatures
Jenna M. Landy, Nishanth Basava, Giovanni Parmigiani
Bayesian Poisson Non-Negative Matrix Factorization (NMF) is widely used to model count data, including in cancer mutational signature analysis. However, standard Gibbs samplers rel…
stat.ME2025
fdrSAFE: Selective Aggregation for Local False Discovery Rate Estimation
Jenna M. Landy, Giovanni Parmigiani
Estimating local false discovery rates (fdr) is central to large-scale multiple hypothesis testing, yet different methods often produce divergent results, and there is little guida…