Cell Line Data
Clinical Samples
Breast Cancer
Ovarian Cancer
Glioblastoma
Colorectal Carcinoma
Immunotherapy
miRNA - Pan-Cancer
Immunotherapy (v.2023) - private
Immunotherapy (blood v.2024) - private
Immunotherapy (v.2024) - private
Immunotherapy (v.2025) - private
Custom Data
Downloads
Terms of Use
Custom plot
Custom
plot
Results
Custom
plot
Download demo data:
CustomData.csv
Select data input method
Upload CSV file
Copy & paste your data
1. Upload CSV file
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ROC analysis
Multiclass ROC analysis
2. Select markers
Multiple markers in one plot
Maximum two markers
3. Select status
Status
Select status variable
Positive class equals
Positive class equals
Time Cutoff
4. Select filter
a filter in order to include only a selected subgroup of cases e.g. filter=1
Select filter
Include only
Filter equals
Plotting and labeling options
Title
Label size (max. 2)
ROC line color
black
blue
gold
gray
green
orange
purple
red
violet
yellow
red
Change Xaxis To Specificity
Run
Please kindly cite our paper to support further development:
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)
.
Results
Please run the analysis first