Bayesian genome-wide clustering and variable selection of transcriptomic data via rank-based mixtures

Emilie Eliseussen, Haakon Muggerud, Luca Coraggio +3

With the increasing availability of ranking data, there has been a growing demand for appropriate unsupervised rank-based inferential frameworks capable of handling high-dimensiona…