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DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
oleh: Zachary R. McCaw, Thomas Colthurst, Taedong Yun, Nicholas A. Furlotte, Andrew Carroll, Babak Alipanahi, Cory Y. McLean, Farhad Hormozdiari
Format: | Article |
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Diterbitkan: | Nature Portfolio 2022-01-01 |
Deskripsi
GWAS often assume a linear phenotype-covariate relationship which may not hold in practice. Here the authors present DeepNull, in which they apply deep learning to identify and adjust for complex non-linear relationships, improving phenotypic prediction and GWAS power.