Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics
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Title
Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics
Authors
Keywords
Membrane proteins, Cellular structures and organelles, Machine learning algorithms, Proteomic databases, Gene ontologies, Embryonic stem cells, Algorithms, Cell membranes
Journal
PLoS Computational Biology
Volume 12, Issue 5, Pages e1004920
Publisher
Public Library of Science (PLoS)
Online
2016-05-14
DOI
10.1371/journal.pcbi.1004920
References
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