Combining multiple positive training sets to generate confidence scores for protein–protein interactions

@article{Yu2009CombiningMP,
  title={Combining multiple positive training sets to generate confidence scores for protein–protein interactions},
  author={Jingkai Yu and Russell L. Finley},
  journal={Bioinformatics},
  year={2009},
  volume={25},
  pages={105 - 111}
}
MOTIVATION High-throughput experimental and computational methods are generating a wealth of protein-protein interaction data for a variety of organisms. However, data produced by current state-of-the-art methods include many false positives, which can hinder the analyses needed to derive biological insights. One way to address this problem is to assign confidence scores that reflect the reliability and biological significance of each interaction. Most previously described scoring methods use a… CONTINUE READING
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