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Research Letters in Signal Processing
Volume 2008, Article ID 365152, 5 pages
Research Letter

Is Subcellular Localization Informative for Modeling Protein-Protein Interaction Signal?

1Division of Biometrics, The Cancer Institute of New Jersey, 195 Little Albany Street, New Brunswick, NJ 08901, USA
2Department of Biostatistics, School of Public Health, University of Medicine and Dentistry of New Jersey, 683 Hoes Lane West, Piscataway, NJ 08854, USA
3Department of Epidemiology and Public Health, Yale University School of Medicine, 60 College Street, New Haven, CT 06520, USA
4Department of Statistics, West Virginia University, P.O. Box 6330, Morgantown, WV 26506, USA
5Department of Electronic and Computer Engineering, The Hong Kong University of Sciences and Technology, Clear Water Bay, Kowloon, Hong Kong, China

Received 21 August 2007; Accepted 2 January 2008

Academic Editor: Jar-Ferr Kevin Yang

Copyright © 2008 Junfeng Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Statistical methods have been intensively applied in genomic signal processing (Dougherty et al. 2005). For budding yeast Saccharomyces cerevisiae with around 6000 proteins, genome-wide protein-protein-interaction (PPI) (Fromont-Racine et al. 2000, Ito et al. 2001, Newman et al. 2000, and Uetz et al. 2000 among others) and protein subcellular localization (PSL) (Huh et al. 2003) data recently became available and for the latter the presence of 4152 proteins is experimentally tested in each of the 22 subcellular compartments. Recent work shows that multiple biological sources are helpful for both PSL and PPI predictions, and this paper studies statistical feasibility of modeling PPI from PSL since PSLs may play different marginal or joint roles in the complex regulatory network. However, our results indicate that PSL may be controversial for this purpose as an independent source.