This workflow describes a computational workflow for the Bayesian analysis of spatial proteomics data. The algorithms and applications are detailed in Crook et al. A Bayesian mixture modelling approach for spatial proteomics.
This workflow is distributed under a CC-BY license, allowing you to share and adapt this work providing you give appropriate credit.
Citation
Crook OM, Breckels LM, Lilley KS, Kirk PDW, Gatto L (2019) A Bioconductor workflow for the Bayesian analysis of spatial proteomic https://github.com/ococrook/TAGMworkflow