Citation

    Please cite the following publication when using SurvNet:

• Jun Li, Paul Roebuck, Stefan Grünewald, & Han Liang 2012.
  

  SurvNet: A bioinformatics tool for identifying network-based biomarkers that most correlate with patient survival data.

  Nucleic Acids Res 40: W1: W123-126 (PDF)

References

• Han-Yu Chuang, Eunjung Lee, Yu-Tsueng Liu, Doheon Lee, & Trey Ideker 2007.
  

  Network-based classification of breast cancer metastasis.

  Molecular Systems Biology 3: 1: 140 (PDF)
• Peilin Jia, Siyuan Zheng, Jirong Long, Wei Zheng, & Zhongming Zhao 2011.
  

  dmGWAS: dense module searching for genome-wide association studies in protein-protein interaction networks.

  Bioinformatics 27: 1: 95-102 (PDF)
• David Roxbee Cox & David Oakes 1984.
  

  Analysis of Survival Data.

  London: Chapman & Hall

  ISBN: 978-0-412-24490-2

Acknowledgements

• We thank Jun Zhang, Sylvain Laroche, Chris Wakefield, Glen Brosch, and Paul Roebuck for their efforts in setting up and maintaining the webserver.
• The research in Dr. Han Liang's group is supported by grants from The University of Texas M.D. Anderson Cancer Center, National Institutes of Health [grant numbers U24 CA143883 and P30 CA016672] and G.S. Hogan Gastrointestinal Research fund.