Protein co-expression network analysis (ProCoNA)

  title={Protein co-expression network analysis (ProCoNA)},
  author={David L. Gibbs and Arie Baratt and Ralph S. Baric and Yoshihiro Kawaoka and Richard D. Smith and Eric S. Orwoll and Michael G. Katze and Shannon K. McWeeney},
  booktitle={Journal of Clinical Bioinformatics},
Biological networks are important for elucidating disease etiology due to their ability to model complex high dimensional data and biological systems. Proteomics provides a critical data source for such models, but currently lacks robust de novo methods for network construction, which could bring important insights in systems biology. We have evaluated the construction of network models using methods derived from weighted gene co-expression network analysis (WGCNA). We show that approximately… CONTINUE READING
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KEGG API: A web service using SOAP/WSDL to access the KEGG system

  • S Kawashima, T Katayama, Y Sato, M Kanehisa
  • In International Conference on Genome Informatics…
  • 2003
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