High-throughput technologies have revolutionized medical research. The advent of
genotyping arrays enabled large-scale genome-wide association studies and methods for …

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of liver dysfunction in
the Western world and is increasing owing to its close association with obesity and insulin …

Statistically underpowered studies can result in experimental failure even when all other
experimental considerations have been addressed impeccably. In fMRI the combination of a …

Polycystic ovary syndrome (PCOS) is now recognized as an important metabolic as well as
reproductive disorder conferring substantially increased risk for type 2 diabetes. Affected …

Significance testing was developed as an objective method for summarizing statistical
evidence for a hypothesis. It has been widely adopted in genetic studies, including genome …

Studies of families and twins show the importance of genetic factors affecting susceptibility to
bipolar disorder and suggest substantial genetic and phenotypic complexity. Robust and …

Modern biology has experienced an increased use of machine learning techniques for large
scale and complex biological data analysis. In the area of Bioinformatics, the Random Forest …

Detection of circulating tumor DNAs (ctDNAs) in cancer patients is an important component
of cancer precision medicine ctDNAs. Compared to the traditional physical and biochemical …

Asthma and allergy are common conditions with complex etiologies involving both genetic
and environmental contributions. Recent genome‐wide association studies (GWAS) and …

Protein coding genes constitute only approximately 1% of the human genome but harbor
85% of the mutations with large effects on disease-related traits. Therefore, efficient …