In search of functional association from time-series microarray data based on the change trend and level of gene expression |
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Authors: | Feng He and An-Ping Zeng |
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Affiliation: | (1) Research Group Systems Biology, GBF – German Research Center for Biotechnology, Mascheroder Weg 1, 38124 Braunschweig, Germany |
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Abstract: | Background The increasing availability of time-series expression data opens up new possibilities to study functional linkages of genes. Present methods used to infer functional linkages between genes from expression data are mainly based on a point-to-point comparison. Change trends between consecutive time points in time-series data have been so far not well explored. |
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