Correlation-based biological networks

Date

2008

Authors

Song, Won-Min
Aste, Tomaso
Di Matteo, Tiziana

Journal Title

Journal ISSN

Volume Title

Publisher

SPIE - The International Society for Optical Engineering

Abstract

We construct a correlation-based biological network from a data set containing temporal expressions of 517 fibroblast tissue genes at transcription level. Four relevant and meaningful connected subgraphs of the network, namely: minimal spanning tree, maximal spanning tree, combined graph of minimal and maximal trees, and planar maximally filtered graph are extracted and the subgraphs' geometrical and topological properties are explored by computing relevant statistical quantities at local and global level. The results show that the subgraphs are extracting relevant information from the data set by retaining high correlation coefficients. The design principle of the underlying biological functions is reflected in the topology of the graphs.

Description

Keywords

Keywords: Correlation methods; Fibroblasts; Topology; Transcription; Trees (mathematics); Biological networks; Fibroblast tissue genes; Maximal spanning tree; Biological systems

Citation

Source

Complex Systems II (Proceedings of SPIE Vol. 6802 )

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1117/12.759252

Restricted until

2037-12-31