Data and Model Driven Hybrid Approach to Activity Scoring of Cyclic Pathways

  • Zerrin Işik
  • Volkan Atalay
  • Cevdet Aykanat
  • Rengül Çetin-Atalay
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 62)


Analysis of large scale -omics data based on a single tool re- mains ine_cient to reveal molecular basis of cellular events. Therefore, data integration from multiple heterogeneous sources is highly desirable and required. In this study, we developed a data- and model-driven hy- brid approach to evaluate biological activity of cellular processes. Bio- logical pathway models were taken as graphs and gene scores were trans- ferred through neighbouring nodes of these graphs. An activity score describes the behaviour of a speci_c biological process was computed by owing of converged gene scores until reaching a target process. Biolog- ical pathway model based approach that we describe in this study is a novel approach in which converged scores are calculated for the cellular processes of a cyclic pathway. The convergence of the activity scores for cyclic graphs were demonstrated on the KEGG pathways.


Activity Score KEGG Pathway Target Process Gene Score Rank Product 
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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Zerrin Işik
    • 1
  • Volkan Atalay
    • 1
  • Cevdet Aykanat
    • 2
  • Rengül Çetin-Atalay
    • 3
  1. 1.Department of Computer EngineeringMiddle East Technical UniversityAnkaraTurkey
  2. 2.Department of Computer EngineeringBilkent UniversityAnkaraTurkey
  3. 3.Department of Molecular Biology and GeneticsBilkent UniversityAnkaraTurkey

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