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

Background: 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. Results: In this study, we use a combination of 3 genomic features

• Type: Journal
• Year: 2005
• Where: BMCBI
• Authors: Ashwini Patil, Haruki Nakamura
• Keywords: BMCBI 2005, Genomic Features, Protein-protein Interaction Data, Protein-protein Interactions