A machine learning algorithm for estimating the probability that a given mutation profile corresponds to a particular tumor type

1. Enter comma-delimited list of capitalized genes reported as mutant in a clinical cancer sequencing report.
e.g. (EGFR, KRAS, TP53).
2. Click submit and wait patiently(!). It takes around 30 seconds to build the classifiers and report the results.
3. This is a demo running on a low CPU server. Multiple queries will cause the server to crash. If so, please try later.

Code by Paraic Kenny PhD, Gundersen Medical Foundation, La Crosse WI.
Feedback welcome at pakenny@gundersenhealth.org