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A Bayesian mixture modelling approach for spatial proteomics.

Oliver M Crook, Claire M Mulvey, Paul DW Kirk, Kathryn S Lilley, Laurent Gatto

OAI: oai:www.repository.cam.ac.uk:1810/286957 • DOI: 10.17863/CAM.32294

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Abstract

Algorithms Animals Bayes Theorem Embryonic Stem Cells Machine Learning Mice Models Theoretical Proteomics Reproducibility of Results Subcellular Fractions uncertainty