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
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Source
Complex Systems II (Proceedings of SPIE Vol. 6802 )
Type
Conference paper
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2037-12-31