DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
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.
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-27930-0 |