Algorithmic Aspects of Heterogeneous Biological Networks Comparison

  • Guillaume Blin
  • Guillaume Fertin
  • Hafedh Mohamed-Babou
  • Irena Rusu
  • Florian Sikora
  • Stéphane Vialette
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6831)

Abstract

Biological networks are commonly used to model molecular activity within the cell. Recent experimental studies have shown that the detection of conserved subnetworks across several networks, coming from different organisms, may allow the discovery of disease pathways and prediction of protein functions. There already exist automatic methods that allow to search for conserved subnetworks using networks alignment; unfortunately, these methods are limited to networks of same type, thus having the same graph representation. Towards overcoming this limitation, a unified framework for pairwise comparison and analysis of networks with different graph representations (in particular, a directed acyclic graph D and an undirected graph G over the same set of vertices) is presented in [4]. We consider here a related problem called k-DAGCC: given a directed graph D and an undirected graph G on the same set V of vertices, and an integer k, does there exist sets of vertices V1, V2, …Vk, k′ ≤ k such that, for each 1 ≤ i ≤ k′, (i) D[Vi] is a DAG and (ii) G[Vi] is connected ? Two variants of k-DAGCC are of interest: (a) the Vis must form a partition of V, or (b) the Vis must form a cover of V. We study the computational complexity of both variants of k-DAGCC and, depending on the constraints imposed on the input, provide several polynomial-time algorithms, hardness and inapproximability results.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Guillaume Blin
    • 1
  • Guillaume Fertin
    • 2
  • Hafedh Mohamed-Babou
    • 2
  • Irena Rusu
    • 2
  • Florian Sikora
    • 1
  • Stéphane Vialette
    • 1
  1. 1.LIGM - UMR CNRS 8049Université Paris-EstFrance
  2. 2.LINA - UMR CNRS 6241Université de NantesFrance

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