Filtering high-throughput protein-protein interaction data using a combination of genomic features

@article{Patil2004FilteringHP,
  title={Filtering high-throughput protein-protein interaction data using a combination of genomic features},
  author={Ashwini Patil and Haruki Nakamura},
  journal={BMC Bioinformatics},
  year={2004},
  volume={6},
  pages={100 - 100}
}
Protein-protein interaction data used in the creation or prediction of molecular networks is usually obtained from large scale or high-throughput experiments. This experimental data is liable to contain a large number of spurious interactions. Hence, there is a need to validate the interactions and filter out the incorrect data before using them in prediction studies. In this study, we use a combination of 3 genomic features – structurally known interacting Pfam domains, Gene Ontology… CONTINUE READING

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