dorsal/arxiv
View SchemaStatistical Indicators of Collective Behavior and Functional Clusters in Gene Networks of Yeast
| Authors | Jelena Zivkovic, Bosiljka Tadic, Nikolaus Wick, Stefan Thurner |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0509043 |
| URL | https://arxiv.org/abs/q-bio/0509043 |
| DOI | 10.1140/epjb/e2006-00103-4 |
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.
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"abstract": "We analyze gene expression time-series data of yeast S. cerevisiae measured\nalong two full cell-cycles. We quantify these data by using q-exponentials,\ngene expression ranking and a temporal mean-variance analysis. We construct\ngene interaction networks based on correlation coefficients and study the\nformation of the corresponding giant components and minimum spanning trees. By\ncoloring genes according to their cell function we find functional clusters in\nthe correlation networks and functional branches in the associated trees. Our\nresults suggest that a percolation point of functional clusters can be\nidentified on these gene expression correlation networks.",
"arxiv_id": "q-bio/0509043",
"authors": [
"Jelena Zivkovic",
"Bosiljka Tadic",
"Nikolaus Wick",
"Stefan Thurner"
],
"categories": [
"q-bio.GN"
],
"doi": "10.1140/epjb/e2006-00103-4",
"title": "Statistical Indicators of Collective Behavior and Functional Clusters in Gene Networks of Yeast",
"url": "https://arxiv.org/abs/q-bio/0509043"
},
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