tailieunhanh - Learning the optimal scale for GWAS through hierarchical SNP aggregation

Genome-Wide Association Studies (GWAS) seek to identify causal genomic variants associated with rare human diseases. The classical statistical approach for detecting these variants is based on univariate hypothesis testing, with healthy individuals being tested against affected individuals at each locus. |

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