Rank-based Bayesian variable selection for genome-wide transcriptomic analyses

Emilie Eliseussen, Thomas Fleischer, Valeria Vitelli

Variable selection is crucial in high-dimensional omics-based analyses, since it is biologically reasonable to assume only a subset of non-noisy features contributes to the data st…