Comments on Probabilistic Models Behind the Concept of False Discovery Rate

This commentary is concerned with a formula for the false discovery rate (FDR) which frequently serves as a basis for its estimation. This formula is valid under some quite special conditions, motivating us to further discuss probabilistic models behind the commonly accepted FDR concept with a special focus on problems arising in microarray data analysis. We also present a simulation study designed to assess the effects of inter-gene correlations on some theoretical results based on such models.

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