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A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection.

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Title: A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection.
Authors: Crook, Oliver M.1,2 (AUTHOR) omc25@cam.ac.uk, Geladaki, Aikaterini1,3 (AUTHOR), Nightingale, Daniel J. H.1 (AUTHOR), Vennard, Owen1 (AUTHOR), Lilley, Kathryn S.1 (AUTHOR), Gatto, Laurent4 (AUTHOR), Kirk, Paul D. W.2,5 (AUTHOR)
Source: PLoS Computational Biology. 11/9/2020, Vol. 16 Issue 11, p1-21. 21p. 1 Color Photograph, 4 Diagrams, 1 Chart, 1 Graph.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 11/9/2020, Vol. 16 Issue 11, p1-21. 21p. 1 Color Photograph, 4 Diagrams, 1 Chart, 1 Graph.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=146907293
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        Value: 10.1371/journal.pcbi.1008288
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              Text: 11/9/2020
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