Article
First-Order Correction of Statistical Significance for Screening Two-Way Epistatic Interactions.
Methods in molecular biology (Clifton, N.J.) - 1 Jan 2021
Cheng Lu, Zhu Mu
Abstract excerpt
If one uses data to identify the most likely epistatic interaction between two genetic units, and then tests if the identified interaction is associated with a phenotype, the nominal statistical evidence will be inflated. Corrections are available but computationally expensive for genome-wide studies. We provide a first-order correction that can be applied in practice with essentially no additional computational...
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