@inbook{659e64d32c2d4ba2a25fa915cd54d621,
title = "Analyzing High-Order Epistasis from Genotype-Phenotype Maps Using {\textquoteleft}Epistasis{\textquoteright} Package",
abstract = "Epistasis is the phenomenon about the interactions between genes, leading to complex phenotypic effects. The interactions between three or more mutations called “high-order epistasis” aroused significant interests in recent studies. However, there are still debates for analysis of high-order epistasis due to the non-linear model complexity and statistical artifacts. A recent “epistasis” Python package was therefore developed to characterize high-order epistasis by estimating non-linear scaling for mutation effects to extract high-order epistasis using linear models. This method successfully discovered statistically significant high-order epistasis on several real genotype-phenotype maps. We provided a concise and step-by-step guide to apply the “epistasis” by reproducing the high-order epistasis discoveries on real genotype-phenotype data using the latest API of the package.",
keywords = "Epistasis, Genotype-phenotype, High-order",
author = "Junyi Chen and Ka-Chun Wong",
year = "2021",
doi = "10.1007/978-1-0716-0947-7_16",
language = "English",
isbn = "9781071609460",
series = "Methods in Molecular Biology",
publisher = "Humana Press",
pages = "265--275",
editor = "Ka-Chun Wong",
booktitle = "Epistasis",
address = "United States",
}