2 papers
stat.AP2026
Module-structured mixture factor models for molecular subtype discovery in transcriptomic data
Jinran Wu, Geoffrey J. McLachlan, Saumyadipta Pyne
High-throughput gene expression data exhibit high dimensionality, complex intergene dependence, and pronounced biological heterogeneity across samples, presenting major challenges…
stat.ME2026
Differential gene expression analysis via two-component mixture models with a semiparametric skew-normal scale mixture alternative
Sangkon Oh, Geoffrey J. McLachlan
Two-component mixture models are particularly useful for identifying differentially expressed genes, but their performance can deteriorate markedly when the alternative distributio…