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A Bayesian system integrating expression data with sequence patterns for localizing proteins: comprehensive application to the yeast genome.

Drawid A, Gerstein M,
Journal of Molecular Biology (2000) 301:1059-75 PublishedPSI:Phase 2  
Northeast Structural Genomics Consortium

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We develop a probabilistic system for predicting the subcellular localization of proteins and estimating the relative population of the various compartments in yeast. ...
metabolism chemistry physiology methods genetics cytology 
Internet Nuclear Proteins Fungal Proteins Yeasts Genome, Fungal Protein Sorting Signals Cell Membrane Surface Properties Bayes Theorem Computational Biology Biological Transport Proteome Cytoplasm Endoplasmic Reticulum Mitochondria Sensitivity and Specificity Reproducibility of Results Membrane Proteins Amino Acid Motifs Golgi Apparatus Isoelectric Point Databases as Topic 
10966805  
10.1006/jmbi.2000.3968  
108 (Last update: 03/25/2017 12:14:21pm)  
method  
J Mol Biol. 2000 Aug 25;301(4):1059-75.