https://www.selleckchem.com/pr....oducts/azd5153-6-hyd
MOTIVATION With the emerging of high-dimensional genomic data, genetic analysis such as genome-wide association studies (GWAS) have played an important role in identifying disease-related genetic variants and novel treatments. Complex longitudinal phenotypes are commonly collected in medical studies. However, since limited analytical approaches are available for longitudinal traits, these data are often underutilized. In this manuscript, we develop a high-throughput machine learning approach for multilocus GWA
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