New methods for joint analysis of biological networks and expression data

@article{Sohler2003NewMF,
  title={New methods for joint analysis of biological networks and expression data},
  author={Florian Sohler and Daniel Hanisch and Ralf Zimmer},
  journal={Bioinformatics},
  year={2003},
  volume={20 10},
  pages={1517-21}
}
SUMMARY Biological networks, such as protein interaction, regulatory or metabolic networks, derived from public databases, biological experiments or text mining can be useful for the analysis of high-throughput experimental data. We present two algorithms embedded in the ToPNet application that show promising performance in analyzing expression data in the context of such networks. First, the Significant Area Search algorithm detects subnetworks consisting of significantly regulated genes… CONTINUE READING
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