A Subspace Module Extraction Technique for Gene Expression Data

  • Priyakshi Mahanta
  • Dhruba Kr. Bhattacharyya
  • Ashish Ghosh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8251)

Abstract

Construction of co-expression network and extraction of network modules have been an appealing area of bioinformatics research. In literature, most existing algorithms of gene co-expression network extract network modules where all samples are considered. In this paper, we propose a method to construct a co-expression network based on mutual information and to extract network modules defined over a subset of samples. The method was applied over several real life gene expression datasets and the results are validated in terms of p value, Q value and topological properties.

Keywords

Co-expression network network modules mutual information topological property 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Priyakshi Mahanta
    • 1
  • Dhruba Kr. Bhattacharyya
    • 1
  • Ashish Ghosh
    • 2
  1. 1.Department of Comp. Sc. and Engg.Tezpur UniversityNapaamIndia
  2. 2.Machine Intelligent UnitIndian Statistical InstituteKolkataIndia

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