Explaining the genetic causality for complex phenotype via deep association kernel learning
The genetic effect explains the causality from genetic mutations to the development of
complex diseases. Existing genome-wide association study (GWAS) approaches are always
built under a linear assumption, restricting their generalization in dissecting complicated
causality such as the recessive genetic effect. Therefore, a sophisticated and general GWAS
model that can work with different types of genetic effects is highly desired. Here, we
introduce a deep association kernel learning (DAK) model to enable automatic causal …
complex diseases. Existing genome-wide association study (GWAS) approaches are always
built under a linear assumption, restricting their generalization in dissecting complicated
causality such as the recessive genetic effect. Therefore, a sophisticated and general GWAS
model that can work with different types of genetic effects is highly desired. Here, we
introduce a deep association kernel learning (DAK) model to enable automatic causal …
Explaining the genetic causality for complex diseases via deep association kernel learning
The genetic effect explains the causality from genetic mutation to the development of
complex diseases. Existing genome-wide association study (GWAS) approaches are always
built under a linear assumption, restricting their generalization in dissecting complicated
causality such as the recessive genetic effect. Therefore, a sophisticated and general GWAS
model that can work with different types of genetic effects is highly desired. Here, we
introduce a Deep Association Kernel learning (DAK) model to enable automatic causal …
complex diseases. Existing genome-wide association study (GWAS) approaches are always
built under a linear assumption, restricting their generalization in dissecting complicated
causality such as the recessive genetic effect. Therefore, a sophisticated and general GWAS
model that can work with different types of genetic effects is highly desired. Here, we
introduce a Deep Association Kernel learning (DAK) model to enable automatic causal …
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