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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

, and . Journal of the Royal Statistical Society. Series B (Methodological), 57 (1): 289--300 (1995)
DOI: 10.2307/2346101

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The False Discovery Rate for Multiple Testing in Factorial Experiments., , and . Technometrics, 50 (1): 32-39 (2008)Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing, and . Journal of the Royal Statistical Society. Series B (Methodological), 57 (1): 289--300 (1995)A step-down multiple hypotheses testing procedure that controls the false discovery rate under independence, and . Journal of Statistical Planning and Inference, 82 (1-2): 163--170 (Dec 1, 1999)Erratum: Categorize, Cluster, and Classify: A 3-C Strategy for Scientific Discovery in the Medical Informatics Platform of the Human Brain Project., , , , and . Discovery Science, volume 8777 of Lecture Notes in Computer Science, Springer, (2014)Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing, and . Journal of the Royal Statistical Society Series B (Methodological), 57 (1): 289-300 (1995)Opening the Box of a Boxplot. The American Statistician, 42 (4): 257-262 (1988)Categorize, Cluster, and Classify: A 3-C Strategy for Scientific Discovery in the Medical Informatics Platform of the Human Brain Project., , , , and . Discovery Science, volume 8777 of Lecture Notes in Computer Science, page 73-86. Springer, (2014)Categorize, Cluster & Classify - The 3C Strategy Applied to Alzheimer's Disease as a Case Study., , , , and . HEALTHINF, page 566-573. SciTePress, (2015)TreeQTL: hierarchical error control for eQTL findings., , , and . Bioinform., 32 (16): 2556-2558 (2016)Identifying differentially expressed genes using false discovery rate controlling procedures., , and . Bioinform., 19 (3): 368-375 (2003)