Journal of Computer Science & Systems Biology

A Lukas

Publications

• Research Article
  Using Information Content for Expanding Human Protein Coding Gene Interaction Networks
  Author(s): R Fechete, A Heinzel, J Söllner, P Perco, A Lukas and B MayerR Fechete, A Heinzel, J Söllner, P Perco, A Lukas and B Mayer
  
  Molecular interaction networks have emerged as central analysis concept for Omics profile interpretation. This fact is driven by the need for improving hypothesis generation beyond the mere interpretation of molecular feature lists derived from statistical analysis of high throughput experiments. A number of human gene and protein interaction networks are available for such task, but these differ with respect to biological nature of interactions represented, and vary with respect to coverage of molecular feature space on the gene, transcript, protein and metabolite level. Naturally, both elements impose major impact on hypothesis generation. We here present a methodology for deriving expanded interaction networks via consolidating available interaction information and further adding computationally inferred interactions. Integrating interaction data as provided in the public d.. Read More»
  DOI: 10.4172/jcsb.1000102

  Abstract PDF