Function:
Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. It provides a consistent and user-friendly set of functions building and plotting a ROC curve, several methods smoothing the curve, computing the full or partial AUC over any range of specificity or sensitivity, as well as computing and visualizing various CIs.
Input:
Input tab delimited text files with headers. If your data is not TAB delimited, you can use Excel to convert it.
Here is an example:
Parameters:
①smooth line:the defalut is no,which is not smooth,you can choose yes to generate smmoth line
②the defalut is no,which is not smooth,you can choose yes to generate smmoth line:choose area color,you can click the color-picker to choose color you want
Output:
A ROC curves in PNG and PDF format.