Bayesian Plackett--Luce latent block models for ranked data
A Bayesian latent block model that jointly partitions assessors and items under a Plackett--Luce observation model reveals tissue-driven sample structure while compressing gene-level heterogeneity into interpretable blocks and Rank-based GSEA of posterior gene scores supports biological interpretation.