Stats
Application of the ROC curve to microarray data (May 26, 2005).
Category: Data mining
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:
07/08/2008.
