References
Gehlenborg, N. et al. Nat. Methods 7, S56–S68 (2010).
Barabási, A.L. & Oltvai, Z.N. Nat. Rev. Genet. 5, 101–113 (2004).
Cancer Genome Atlas Research Network. Nature 455, 1061–1068 (2008).
Kent, W.J. et al. Genome Res. 12, 996–1006 (2002).
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.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Supplementary information
Supplementary Text and Figures
Supplementary Figures 1–5, Supplementary Tables 1–5, Supplementary Methods and Supplementary Notes 1 and 2 (PDF 6803 kb)
Rights and permissions
About this article
Cite this article
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
Published:
Issue Date:
DOI: https://doi.org/10.1038/nmeth.2517
- Springer Nature America, Inc.
This article is cited by
-
Cancer proteogenomics: current impact and future prospects
Nature Reviews Cancer (2022)
-
Exome sequencing reveals a high genetic heterogeneity on familial Hirschsprung disease
Scientific Reports (2015)
-
Proteogenomic convergence for understanding cancer pathways and networks
Clinical Proteomics (2014)
-
Meta-analysis of human methylation data for evidence of sex-specific autosomal patterns
BMC Genomics (2014)