Application of the ROC curve to microarray data

Steve Simon

2005-05-26

[StATS]: Application of the ROC curve to microarray data (May 26, 2005).

Life is full of surprises. When I was looking at whether the software package R could compute and analyze Receiver Operating Characteristic (ROC) curves, I found out that there is an application of ROC curves for microarray data. Apparently, the positive false discovery rate can be conceived of in a diagnostic testing format as relating to the positive predictive value. I have not had time to read all the details, but there is a nice paper on this at

At the same time, I also found a nice paper talking about some of the problems with supervised learning:

Oh, and here's another interesting paper about modifications to the Biplot:

When will I ever have time to read all this stuff?

By the way, my search for ROC stuff was sparked by a person who was interested in free software. R will do the trick, but it is a large program that takes a lot of time to learn. Some other choices are documented at:

This page was written by Steve Simon while working at Children's Mercy Hospital. Although I do not hold the copyright for this material, I am reproducing it here as a service, as it is no longer available on the Children's Mercy Hospital website. Need more information? I have a page with general help resources. You can also browse for pages similar to this one at

for pages similar to this one at with general help resources. You can also browse Children's Mercy Hospital website. Need more information? I have a page reproducing it here as a service, as it is no longer available on the Hospital. Although I do not hold the copyright for this material, I am This page was written by Steve Simon while working at Children's Mercy