SurvNet
Overview | |
Description | A bioinformatics web app for identifying network-based biomarkers that most correlate with patient survival data. Click the link below to use SurvNet. |
Development Information | |
URL | http://bioinformatics.mdanderson.org/survnet/ |
Language | Perl CGI, R and C++ |
Current version | 3.0.2 |
License | Not required |
Status | active |
Last updated | 2015-06-11 |
References | |
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 | |
Contact | Han Liang |
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.
SurvNet is compatible with all major browsers, including Internet Explorer, Firefox, Safari, and Chrome. Javascript must be enabled by the browser. Adobe Flash Player is required to use the Cytoscape Web visualization tool.
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.