2 papers
q-bio.GN2026
Benchmarking end-to-end genotype-to-phenotype prediction workflows across 80 openSNP phenotypes
Muhammad Muneeb, David B. Ascher, YooChan Myung +2
Genotype-to-phenotype prediction is a central goal of statistical genetics, yet practical comparisons of prediction workflows remain limited in small, heterogeneous, participant-sh…
q-bio.GN2026
Identifying genes associated with phenotypes using machine and deep learning
Muhammad Muneeb, David B. Ascher, YooChan Myung
Identifying disease-associated genes enables the development of precision medicine and the understanding of biological processes. Genome-wide association studies (GWAS), gene expre…