Title

Adolescent Noncompliance And Occupational Attainment In Transitional Societies

Keywords

Coherent dense subgraph; Differential subgraph; Frequent dense vertex-set; Frequent pattern; Generic frequent subgraph; Integrative network analysis; Recurrent heavy subgraph; Tensor representation of multiple networks

Abstract

The rapid accumulation of biological network data is creating an urgent need for computational methods capable of integrative network analysis. This paper discusses a suite of algorithms that we have developed to discover biologically significant patterns that appear frequently in multiple biological networks: coherent dense subgraphs, frequent dense vertex-sets, generic frequent subgraphs, differential subgraphs, and recurrent heavy subgraphs. We demonstrate these methods on gene co-expression networks, using the identified patterns to systematically annotate gene functions, map genome to phenome, and perform high-order cooperativity analysis. © 2011 The Author(s).

Publication Date

5-1-2012

Publication Title

International Sociology

Volume

27

Issue

1

Number of Pages

422-441

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1177/0268580911423055

Socpus ID

84860503958 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84860503958

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