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BMCBI
2005

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

11 years 5 months ago
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
Ashwini Patil, Haruki Nakamura
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2005
Where BMCBI
Authors Ashwini Patil, Haruki Nakamura
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