Machine learning (ML) has shown great promise in genetics and genomics where large and
complex datasets have the potential to provide insight into many aspects of disease risk …

Abstract Mungbean (Vigna radiata (L.) Wizcek) is an important pulse crop, increasingly used
as a source of protein, fiber, low fat, carbohydrates, minerals, and bioactive compounds in …

Phenome-wide association studies (PheWAS) have been less focused on maternal
diseases and maternal-newborn comorbidities, especially in the Chinese population. To …

BACKGROUND: Chronic kidney disease (CKD) is highly prevalent in Central America, and
genetic factors may contribute to CKD risk. To understand the influences of genetic …

Abstract Machine learning (ML) methods for uncovering single nucleotide polymorphisms
(SNPs) in genome-wide association study (GWAS) data that can be used to predict disease …

Abstract The International Tuberculosis Host Genetics Consortium (ITHGC) demonstrated
the power of large-scale GWAS analysis across diverse ancestries in identifying tuberculosis …

Simple Summary Macrobrachium nipponense is an important economic aquaculture animal,
and due to its delicious taste, it is a popular food in South China. The growth of male and …

Genome-wide association study (GWAS) can be used to determine which genes are
associated with certain traits or diseases. This research is to identify which SNP (Single …

The complex relationship between genetics, metabolites, microvesicles RNAs, and disease
progression is central to biomedical research. This dissertation navigates through the …

Whenever external beam radiotherapy is employed on normal tissue to irradiate tumors,
side effects may arise as drawbacks of this non-invasive treatment. In particular, toxicities …