Finding bicliques in digraphs: application into viral-host protein interactome

  • Authors:
  • Malay Bhattacharyya;Sanghamitra Bandyopadhyay;Ujjwal Maulik

  • Affiliations:
  • Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India;Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India;Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

  • Venue:
  • PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
  • Year:
  • 2011

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Abstract

We provide the first formalization true to the best of our knowledge to the problem of finding bicliques in a directed graph. The problem is addressed employing a two-stage approach based on an existing biclustering algorithm. This novel problem is useful in several biological applications of which we focus only on analyzing the viral-host protein interaction graphs. Strong and significant bicliques of HIV-1 and human proteins are derived using the proposed methodology, which provides insights into some novel regulatory functionalities in case of the acute immunodeficiency syndrome in human.