[HTML][HTML] DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
Genome-wide association studies (GWASs) examine the association between genotype and
phenotype while adjusting for a set of covariates. Although the covariates may have non …
phenotype while adjusting for a set of covariates. Although the covariates may have non …
DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
ZR McCaw, T Colthurst, T Yun… - Nature …, 2022 - econpapers.repec.org
Genome-wide association studies (GWASs) examine the association between genotype and
phenotype while adjusting for a set of covariates. Although the covariates may have non …
phenotype while adjusting for a set of covariates. Although the covariates may have non …
[HTML][HTML] DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
ZR McCaw, T Colthurst, T Yun, NA Furlotte… - Nature …, 2022 - ncbi.nlm.nih.gov
Genome-wide association studies (GWASs) examine the association between genotype and
phenotype while adjusting for a set of covariates. Although the covariates may have non …
phenotype while adjusting for a set of covariates. Although the covariates may have non …
DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
ZR Mccaw, T Colthurst, T Yun, NA Furlotte, A Carroll… - research.google
Genome-wide association studies (GWASs) examine the association between genotype and
phenotype while adjusting for a set of covariates. Although the covariates may have non …
phenotype while adjusting for a set of covariates. Although the covariates may have non …
DeepNull models non-linear covariate effects to improve phenotypic prediction and association power.
ZR McCaw, T Colthurst, T Yun… - Nature …, 2022 - search.ebscohost.com
Genome-wide association studies (GWASs) examine the association between genotype and
phenotype while adjusting for a set of covariates. Although the covariates may have non …
phenotype while adjusting for a set of covariates. Although the covariates may have non …
DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
ZR McCaw, T Colthurst, T Yun… - Nature …, 2022 - ui.adsabs.harvard.edu
Genome-wide association studies (GWASs) examine the association between genotype and
phenotype while adjusting for a set of covariates. Although the covariates may have non …
phenotype while adjusting for a set of covariates. Although the covariates may have non …
DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
ZR McCaw, T Colthurst, T Yun… - Nature …, 2022 - pubmed.ncbi.nlm.nih.gov
Genome-wide association studies (GWASs) examine the association between genotype and
phenotype while adjusting for a set of covariates. Although the covariates may have non …
phenotype while adjusting for a set of covariates. Although the covariates may have non …
DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
ZR McCaw, T Colthurst, T Yun, NA Furlotte… - Nature …, 2022 - ideas.repec.org
Genome-wide association studies (GWASs) examine the association between genotype and
phenotype while adjusting for a set of covariates. Although the covariates may have non …
phenotype while adjusting for a set of covariates. Although the covariates may have non …
[PDF][PDF] DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
ZR McCaw, T Colthurst, T Yun, NA Furlotte, A Carroll… - academia.edu
Results DeepNull overview. DeepNull trains a DNN to predict a phenotype of interest from
covariates not directly derived from genotypic data (hereafter “non-genetic covariates"). Due …
covariates not directly derived from genotypic data (hereafter “non-genetic covariates"). Due …
DeepNull models non-linear covariate effects to improve phenotypic prediction and association power.
ZR McCaw, T Colthurst, T Yun, NA Furlotte… - Nature …, 2022 - europepmc.org
Genome-wide association studies (GWASs) examine the association between genotype and
phenotype while adjusting for a set of covariates. Although the covariates may have non …
phenotype while adjusting for a set of covariates. Although the covariates may have non …