Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: It is generally acknowledged that a functional understanding of a biological system can only be obtained by an understanding of the collective of molecular interactions in form of biological networks. Protein networks are one particular network type of special importance, because proteins form the functional base units of every biological cell. On a mesoscopic level of protein networks, modules are of significant importance because these building blocks may be the next elementary functional level above individual proteins allowing to gain insight into fundamental organizational principles of biological cells.

Authors

  • Shailesh Tripathi
    Predictive Medicine and Analytics Lab, Department of Signal Processing, Tampere University of Technology, Tampere, Finland.
  • Salissou Moutari
    Centre for Statistical Science and Operational Research, School of Mathematics and Physics, Queen's University Belfast, Belfast, UK.
  • Matthias Dehmer
    Department of Mechatronics and Biomedical Computer Science, UMIT, Hall in Tyrol, IL, Austria.
  • Frank Emmert-Streib
    Predictive Society and Data Analytics Lab, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.