For an in-depth description of the infrastructure for Bayesian spatial proteomics, please see

Crook OM, Mulvey CM, Kirk PDW, Lilley KS, Gatto L (2018) A Bayesian mixture modelling approach for spatial proteomics. PLoS Comput Biol 14(11): e1006516. https://doi.org/10.1371/journal.pcbi.1006516

For a detailed application of the method, please see

Crook OM, Breckels LM, Lilley KS, Kirk PDW, Gatto L (2019) A Bioconductor workflow for the Bayesian analysis of spatial proteomics https://github.com/ococrook/TAGMworkflow