Literature DB >> 20500002

Determining the distance to monotonicity of a biological network: a graph-theoretical approach.

G Iacono1, F Ramezani, N Soranzo, C Altafini.   

Abstract

The authors use ideas from graph theory in order to determine how distant is a given biological network from being monotone. On the signed graph representing the system, the minimal number of sign inconsistencies (i.e. the distance to monotonicity) is shown to be equal to the minimal number of fundamental cycles having a negative sign. Suitable operations aiming at computing such a number are also proposed and shown to outperform all algorithms that are so far existing for this task. [Includes supplementary material].

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Year:  2010        PMID: 20500002     DOI: 10.1049/iet-syb.2009.0040

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  10 in total

1.  Computing global structural balance in large-scale signed social networks.

Authors:  Giuseppe Facchetti; Giovanni Iacono; Claudio Altafini
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-13       Impact factor: 11.205

2.  Multilevel structural evaluation of signed directed social networks based on balance theory.

Authors:  Samin Aref; Ly Dinh; Rezvaneh Rezapour; Jana Diesner
Journal:  Sci Rep       Date:  2020-09-17       Impact factor: 4.379

3.  Monotonicity, frustration, and ordered response: an analysis of the energy landscape of perturbed large-scale biological networks.

Authors:  Giovanni Iacono; Claudio Altafini
Journal:  BMC Syst Biol       Date:  2010-06-10

4.  Dynamics of opinion forming in structurally balanced social networks.

Authors:  Claudio Altafini
Journal:  PLoS One       Date:  2012-06-19       Impact factor: 3.240

5.  An evolutionary game approach for determination of the structural conflicts in signed networks.

Authors:  Shaolin Tan; Jinhu Lü
Journal:  Sci Rep       Date:  2016-02-26       Impact factor: 4.379

6.  Drug combinatorics and side effect estimation on the signed human drug-target network.

Authors:  Núria Ballber Torres; Claudio Altafini
Journal:  BMC Syst Biol       Date:  2016-08-15

7.  Drug Side-Effect Prediction Via Random Walk on the Signed Heterogeneous Drug Network.

Authors:  Baofang Hu; Hong Wang; Zhenmei Yu
Journal:  Molecules       Date:  2019-10-11       Impact factor: 4.411

8.  Identifying hidden coalitions in the US House of Representatives by optimally partitioning signed networks based on generalized balance.

Authors:  Samin Aref; Zachary P Neal
Journal:  Sci Rep       Date:  2021-10-07       Impact factor: 4.379

9.  The structure balance of gene-gene networks beyond pairwise interactions.

Authors:  Nastaran Allahyari; Amir Kargaran; Ali Hosseiny; G R Jafari
Journal:  PLoS One       Date:  2022-03-30       Impact factor: 3.240

10.  Using high-throughput multi-omics data to investigate structural balance in elementary gene regulatory network motifs.

Authors:  Alberto Zenere; Olof Rundquist; Mika Gustafsson; Claudio Altafini
Journal:  Bioinformatics       Date:  2021-08-12       Impact factor: 6.937

  10 in total

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