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Joint analysis of multiple phenotypes for extremely unbalanced case–control association studies using multi-layer network
MOTIVATION: Genome-wide association studies is an essential tool for analyzing associations between phenotypes and single nucleotide polymorphisms (SNPs). Most of binary phenotypes in large biobanks are extremely unbalanced, which leads to inflated type I error rates for many widely used association...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10697735/ https://www.ncbi.nlm.nih.gov/pubmed/37991852 http://dx.doi.org/10.1093/bioinformatics/btad707 |