A Bayesian mixture modelling approach for spatial proteomics.

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Title: A Bayesian mixture modelling approach for spatial proteomics.
Authors: Crook, Oliver M.1,2,3, Mulvey, Claire M.2, Kirk, Paul D. W.3, Lilley, Kathryn S.2, Gatto, Laurent1,2 laurent.gatto@uclouvain.be
Source: PLoS Computational Biology. 11/27/2018, Vol. 14 Issue 11, p1-29. 29p. 1 Diagram, 1 Chart, 11 Graphs.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 11/27/2018, Vol. 14 Issue 11, p1-29. 29p. 1 Diagram, 1 Chart, 11 Graphs.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=133225297
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        Value: 10.1371/journal.pcbi.1006516
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              Text: 11/27/2018
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