The article introduces a method called false discovery rate to analyze genes related to prostate cancer. By using this method, researchers identified 60 different genes with a low chance of being false positives. They also found 74 genes with a similar low chance using a different measure called q value, and 31 genes using local false discovery rate. This approach helps control and estimate errors in comparing large amounts of data, providing more accurate results for cancer research.