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NetGestalt: integrating multidimensional omics data over biological networks

Nature Methods volume 10, pages 597–598 (2013)Cite this article

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Figure 1: One-dimensional layout of a network preserves the hierarchical modular organization information.

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Acknowledgements

This work was supported by the US National Institutes of Health grants R01 GM088822, U24 CA159988 and P50 MH096972. This work was conducted in part using the resources of the Advanced Computing Center for Research and Education at Vanderbilt University.

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Author notes

  1. Zhiao Shi and Jing Wang: These authors contributed equally to this work.

Authors and Affiliations

  1. Advanced Computing Center for Research and Education, Vanderbilt University, Nashville, Tennessee, USA

    Zhiao Shi

  2. Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA

    Zhiao Shi

  3. Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA

    Jing Wang & Bing Zhang

  4. Department of Cancer Biology, Vanderbilt University, Nashville, Tennessee, USA

    Bing Zhang

Authors
  1. Zhiao Shi
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  2. Jing Wang
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  3. Bing Zhang
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Correspondence to Bing Zhang.

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The authors declare no competing financial interests.

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Supplementary Figures 1–5, Supplementary Tables 1–5, Supplementary Methods and Supplementary Notes 1 and 2 (PDF 6803 kb)

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Shi, Z., Wang, J. & Zhang, B. NetGestalt: integrating multidimensional omics data over biological networks. Nat Methods 10, 597–598 (2013). https://doi.org/10.1038/nmeth.2517

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