tailieunhanh - Feature selection with interactions in logistic regression models using multivariate synergies for a GWAS application

Genotype-phenotype association has been one of the long-standing problems in bioinformatics. Identifying both the marginal and epistatic effects among genetic markers, such as Single Nucleotide Polymorphisms (SNPs), has been extensively integrated in Genome-Wide Association Studies (GWAS) to help derive “causal” genetic risk factors and their interactions, which play critical roles in life and disease systems. |

TỪ KHÓA LIÊN QUAN