|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++|
|Citation||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. http://dx.doi.org/10.1093/nar/gks386|
|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 the project's FAQ.
For other inquiries, please contact Dr. Han Liang .
This website is for educational and research purposes only.