Statistical indicators of collective behavior and functional clusters in gene networks of yeast

J. Živković, B. Tadić, N. Wick and Stefan Thurner

The European Physical Journal B: Condensed Matter and Complex Systems, 2006, vol. 50, issue 1, 255-258

Abstract: We analyze gene expression time-series data of yeast (S. cerevisiae) measured along two full cell-cycles. We quantify these data by using q-exponentials, gene expression ranking and a temporal mean-variance analysis. We construct gene interaction networks based on correlation coefficients and study the formation of the corresponding giant components and minimum spanning trees. By coloring genes according to their cell function we find functional clusters in the correlation networks and functional branches in the associated trees. Our results suggest that a percolation point of functional clusters can be identified on these gene expression correlation networks. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2006

Keywords: 87.10.+e General theory and mathematical aspects; 89.75.-k Complex systems; 89.75.Hc Networks and genealogical trees (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:eurphb:v:50:y:2006:i:1:p:255-258

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DOI: 10.1140/epjb/e2006-00103-4

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