We published the implementation of the set ration in surprisal analysis on RNA-seq data, an information theoretic approach. The analysis allows the simultaneous meta-analysis of different sets of data mined on SRA together with newly generated data by explaining variation induced by strains and experimental setups in a separate third constraint.
Click for the full paper in PLOS One:
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0195142