ROC Plotter - Online ROC analysis

ROC Plotter
for breast cancer
ROC Plotter
for ovarian cancer
Generate ROC Plotter
for glioblastoma
ROC Plotter
for colorectal cancer
miRNA ROC Plotter
UNDER DEVELOPMENT
Generate ROC Plot
for uploaded data

 

What is the ROC Plotter?

      The ROC plotter is capable to link gene expression and response to therapy using transcriptome-level data of 3,104 breast cancer patients and 2,369 ovarian cancer patients.

 

What is a biomarker?

      A biomarker can be either predictive or prognostic. A predictive marker predicts benefit from a specific treatment; it helps to select a particular treatment over another. A prognostic marker predicts the natural history of disease (survival), independent of treatment. It can indicate a need for further treatment, but does not help to determine which treatment. The ROC Plotter is the first online transcriptome-level validation tool for predictive biomarkers.

 

What is the ROC Plotter useful for:

 

Which genes can I use?

      ROC plotter recognizes 70,632 gene symbols including HUGO Gene Nomenclature Committee approved official gene symbols, previous symbols, and aliases. All these are listed in the results page. As the different names can overlap, we recommend to cross-check the identity of the selected gene.

 

What is the JetSet probe?

      JetSet is a tool to select the optimal microarray probe set to represent a gene. More info on the JetSet homepage.

 

How to cite

      Fekete J, Gyorffy B: ROCplot.org: Validating predictive biomarkers of chemotherapy/hormonal therapy/anti-HER2 therapy using transcriptomic data of 3,104 breast cancer patients, Int J Cancer, 145: 3140–3151 (2019) (link to article)

 

Try our other web tools as well:

Kaplan-Meier plotter Mutarget https://multipletesting.com/ https://tnmplot.com/analysis/