|Description||A bioinformatics web app for identifying network-based biomarkers that most correlate with patient survival data. Click the link below to use SurvNet.|
|Language||Perl CGI, R and C++|
|Citations|| Li J, Roebuck P, Grünewald S, Liang H. (2012).|
SurvNet: a web server for identifying network-based biomarkers that most correlate with patient survival data.
Nucleic Acids Research 40:W1 W123-6.
|News||Published Apr 14th in Nucleic Acids Research.|
|Help and Support|
SurvNet is a valuable bioinformatic tool for identifying network-based biomarkers that most correlate with patient survival data. SurvNet takes three input files: one biological network file as the searching platform (several human protein interaction networks are provided as choices), one molecular profiling file (e.g., array-based gene expression or DNA methylation data or mutation data), and one patient survival data file. Given user-defined parameters, SurvNet will automatically identify sub-networks that most correlate with patient survival data and display the results in a visually appealing manner. Preloaded TCGA data is also available for analysis.
Login is not required — it is free for anyone to use.
For questions or support related to the use of SurvNet, please visit on the project's forum page.
For other inquiries, please contact Dr. Han Liang.
This website is for educational and research purposes only.