The False Discovery Rate (FDR) is a statistical method used to correct for multiple comparisons in data analysis. In the context of cancer research, it helps to control the expected proportion of incorrectly rejected null hypotheses (false positives). This is particularly important when dealing with high-dimensional data, such as genomic studies, where thousands of hypotheses are tested simultaneously.
