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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 gen...
| Autores principales: | , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660384/ https://www.ncbi.nlm.nih.gov/pubmed/33205126 http://dx.doi.org/10.1016/j.patter.2020.100057 |