A Hybrid Rule-Induction/Likelihood-Ratio Based Approach for Predicting Protein-Protein Interactions
- 1 January 2009
- book chapter
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableThis publication has 36 references indexed in Scilit:
- Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction PartnersPLoS Computational Biology, 2007
- Deciphering Protein–Protein Interactions. Part I. Experimental Techniques and DatabasesPLoS Computational Biology, 2007
- Predicting disease genes using protein-protein interactionsJournal of Medical Genetics, 2006
- Probabilistic model of the human protein-protein interaction networkNature Biotechnology, 2005
- The Database of Interacting Proteins: 2004 updateNucleic Acids Research, 2004
- Comparative assessment of large-scale data sets of protein–protein interactionsNature, 2002
- Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometryNature, 2002
- Functional organization of the yeast proteome by systematic analysis of protein complexesNature, 2002
- A comprehensive two-hybrid analysis to explore the yeast protein interactomeProceedings of the National Academy of Sciences of the United States of America, 2001
- Who's your neighbor? New computational approaches for functional genomicsNature Biotechnology, 2000